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Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017
  International Symposium on Biomedical Imaging (ISBI), Hosted by the
  International Skin Imaging Collaboration (ISIC)

Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)

13 October 2017
Noel Codella
D. Gutman
M. E. Celebi
Brian Helba
Michael Marchetti
Stephen W. Dusza
Aadi Kalloo
Konstantinos Liopyris
N. Mishra
Harald Kittler
Allan Halpern
ArXivPDFHTML

Papers citing "Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)"

50 / 205 papers shown
Title
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLM
OOD
MedIm
27
85
0
02 Mar 2022
SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion
  Classification
SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification
Keyu Chen
Di Zhuang
Jerome Chang
SSL
23
5
0
11 Feb 2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Dominik Muller
Iñaki Soto Rey
Frank Kramer
40
278
0
10 Feb 2022
Learning Robust Convolutional Neural Networks with Relevant Feature
  Focusing via Explanations
Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
Kazuki Adachi
Shin'ya Yamaguchi
OOD
38
0
0
09 Feb 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
Frederik Pahde
Maximilian Dreyer
Leander Weber
Moritz Weckbecker
Christopher J. Anders
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
63
7
0
07 Feb 2022
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin
  Lesion Classification
Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification
Peter J. Bevan
Amir Atapour-Abarghouei
17
29
0
06 Feb 2022
An Analysis on Ensemble Learning optimized Medical Image Classification
  with Deep Convolutional Neural Networks
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
Dominik Muller
Iñaki Soto Rey
Frank Kramer
32
56
0
27 Jan 2022
Contrastive and Selective Hidden Embeddings for Medical Image
  Segmentation
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation
Zhuowei Li
Zihao Liu
Zhiqiang Hu
Qing Xia
Ruiqin Xiong
Shaoting Zhang
Dimitris N. Metaxas
Tingting Jiang
SSL
35
8
0
21 Jan 2022
Improved skin lesion recognition by a Self-Supervised Curricular Deep
  Learning approach
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
Kirill Sirotkin
Marcos Escudero-Viñolo
Pablo Carballeira
Juan C. Sanmiguel
SSL
32
6
0
22 Dec 2021
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion
  Detection
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
Max Torop
S. Ghimire
Wenqian Liu
Dana H. Brooks
Mario Sznaier
M. Rajadhyaksha
Jennifer Dy
Kivanc Kose
34
0
0
08 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift
  Detection
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park
Anas Awadalla
Tadayoshi Kohno
Shwetak N. Patel
OOD
30
29
0
26 Oct 2021
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma
  Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning
Exploring Content Based Image Retrieval for Highly Imbalanced Melanoma Data using Style Transfer, Semantic Image Segmentation and Ensemble Learning
Priyam Mehta
18
0
0
12 Oct 2021
Early Melanoma Diagnosis with Sequential Dermoscopic Images
Early Melanoma Diagnosis with Sequential Dermoscopic Images
Zhen Yu
Jennifer Nguyen
Toàn D. Nguyên
J. Kelly
C. Mclean
Paul Bonnington
Lei Zhang
Victoria Mar
Z. Ge
27
41
0
12 Oct 2021
Colour augmentation for improved semi-supervised semantic segmentation
Colour augmentation for improved semi-supervised semantic segmentation
Geoff French
Michal Mackiewicz
19
3
0
09 Oct 2021
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context
  of Melanoma Classification
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
P. Bevan
Amir Atapour-Abarghouei
MU
51
18
0
20 Sep 2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via
  Poisson Learning
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen
Guokai Zhang
Huilin Lai
Jihao Luo
Jianwei Lu
Ye Luo
27
14
0
26 Aug 2021
Is it Time to Replace CNNs with Transformers for Medical Images?
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas
Johan Fredin Haslum
Magnus P Soderberg
Kevin Smith
ViT
OOD
MedIm
13
146
0
20 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
36
22
0
02 Aug 2021
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A
  case study for skin lesion classification
ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification
Ralf Raumanns
Gerard Schouten
Max Joosten
J. Pluim
V. Cheplygina
17
5
0
27 Jul 2021
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image
  Segmentation
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
H. Zunair
A. Ben Hamza
SSeg
MDE
15
224
0
26 Jul 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image
  Segmentation
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
Shuailin Li
Zhitong Gao
Xuming He
NoLa
27
26
0
21 Jul 2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for
  Medical Image Classification
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Xiaohan Xing
Yuenan Hou
Han Li
Yixuan Yuan
Hongsheng Li
Max Q.-H. Meng
VLM
39
36
0
07 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
46
49
0
24 Jun 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis
Levy G. Chaves
Alceu Bissoto
Eduardo Valle
Sandra Avila
27
15
0
17 Jun 2021
The Medical Segmentation Decathlon
The Medical Segmentation Decathlon
Michela Antonelli
Annika Reinke
Spyridon Bakas
Keyvan Farahani
AnnetteKopp-Schneider
...
Zhanwei Xu
Yefeng Zheng
Amber L. Simpson
Lena Maier-Hein
M. Jorge Cardoso
OOD
69
951
0
10 Jun 2021
Out-of-Distribution Detection in Dermatology using Input Perturbation
  and Subset Scanning
Out-of-Distribution Detection in Dermatology using Input Perturbation and Subset Scanning
Hannah Kim
G. Tadesse
C. Cintas
Skyler Speakman
Kush R. Varshney
OOD
12
18
0
24 May 2021
Soft-Attention Improves Skin Cancer Classification Performance
Soft-Attention Improves Skin Cancer Classification Performance
S. Datta
Mohammad Abuzar Shaikh
H. Srihari
Mingchen Gao
22
103
0
05 May 2021
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
112
182
0
20 Apr 2021
Is segmentation uncertainty useful?
Is segmentation uncertainty useful?
Steffen Czolbe
K. Arnavaz
Oswin Krause
Aasa Feragen
UQCV
28
43
0
30 Mar 2021
Estimating and Improving Fairness with Adversarial Learning
Estimating and Improving Fairness with Adversarial Learning
Xiaoxiao Li
Ziteng Cui
Yifan Wu
Li Gu
Tatsuya Harada
MedIm
25
38
0
07 Mar 2021
Loss Estimators Improve Model Generalization
Loss Estimators Improve Model Generalization
V. Narayanaswamy
Jayaraman J. Thiagarajan
Deepta Rajan
A. Spanias
OOD
UQCV
24
0
0
05 Mar 2021
Towards Evaluating the Robustness of Deep Diagnostic Models by
  Adversarial Attack
Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu
Tao Zhang
Zhongnian Li
Mingxia Liu
Daoqiang Zhang
AAML
OOD
MedIm
33
41
0
05 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
48
529
0
18 Feb 2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers
  for Biomedical Image Segmentation
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Ziyuan Zhao
Zeng Zeng
Kaixin Xu
Cen Chen
Cuntai Guan
21
65
0
22 Jan 2021
A Survey on Ensemble Learning under the Era of Deep Learning
A Survey on Ensemble Learning under the Era of Deep Learning
Yongquan Yang
Haijun Lv
Ning Chen
OOD
67
182
0
21 Jan 2021
Low-cost and high-performance data augmentation for deep-learning-based
  skin lesion classification
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification
Shuwei Shen
Mengjuan Xu
Fan Zhang
Pengfei Shao
Honghong Liu
...
Chi Zhang
Peng Liu
Zhihong Zhang
Peng Yao
Ronald X. Xu
25
10
0
07 Jan 2021
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and
  Deep Residual Units
Lesion Net -- Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units
S. Nathan
Priya Kansal
SSeg
MedIm
25
7
0
28 Dec 2020
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and
  Empirical Studies on Medical Image Classification
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan
Yan Yan
Milan Sonka
Tianbao Yang
AI4TS
MedIm
OOD
21
118
0
06 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini
G. Ateniese
M. Bernaschi
FedML
34
147
0
04 Dec 2020
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time
  Segmentation
SegBlocks: Block-Based Dynamic Resolution Networks for Real-Time Segmentation
Thomas Verelst
Tinne Tuytelaars
SSeg
10
16
0
24 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
Unsupervised Surgical Instrument Segmentation via Anchor Generation and
  Semantic Diffusion
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Daochang Liu
Yuhui Wei
Tingting Jiang
Yizhou Wang
R. Miao
F. Shan
Ziyu Li
MedIm
32
26
0
27 Aug 2020
Deep Active Learning in Remote Sensing for data efficient Change
  Detection
Deep Active Learning in Remote Sensing for data efficient Change Detection
Vít Ruzicka
Stefano Dáronco
Jan Dirk Wegner
Konrad Schindler
37
29
0
25 Aug 2020
U-Net Based Architecture for an Improved Multiresolution Segmentation in
  Medical Images
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images
Simindokht Jahangard
M. H. Zangooei
Maysam Shahedi
SSeg
24
7
0
16 Jul 2020
Investigating and Exploiting Image Resolution for Transfer
  Learning-based Skin Lesion Classification
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification
A. Mahbod
Gerald Schaefer
Chunliang Wang
R. Ecker
Georg Dorffner
Isabella Ellinger
MedIm
29
28
0
25 Jun 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Samaneh Abbasi-Sureshjani
Ralf Raumanns
B. Michels
Gerard Schouten
V. Cheplygina
FaML
33
35
0
20 May 2020
Detector-SegMentor Network for Skin Lesion Localization and Segmentation
Detector-SegMentor Network for Skin Lesion Localization and Segmentation
Shreshth Saini
D. Gupta
A. Tiwari
22
13
0
13 May 2020
Boundary-aware Context Neural Network for Medical Image Segmentation
Boundary-aware Context Neural Network for Medical Image Segmentation
Ruxin Wang
Shuyuan Chen
Chaojie Ji
Jianping Fan
Ye Li
27
138
0
03 May 2020
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for
  Skin Lesion Classification
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification
Di Zhuang
Keyu Chen
Jerome Chang
14
16
0
25 Apr 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
21
54
0
23 Apr 2020
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