ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.00523
  4. Cited By
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection

ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection

1 March 2017
Matt Berseth
ArXivPDFHTML

Papers citing "ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection"

13 / 13 papers shown
Title
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
Encheng Su
Hu Cao
Alois C. Knoll
MedIm
43
0
0
02 Apr 2025
MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision Mamba
MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision Mamba
Zhongping Ji
Mamba
45
0
0
10 Jun 2024
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Qi Tian
Kun Kuang
Ke Jiang
Furui Liu
Zhihua Wang
Fei Wu
22
7
0
04 Dec 2022
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion
  Segmentation
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
Jiacheng Ruan
Suncheng Xiang
Mingye Xie
Ting Liu
Yuzhuo Fu
23
133
0
03 Nov 2022
BT-Unet: A self-supervised learning framework for biomedical image
  segmentation using Barlow Twins with U-Net models
BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models
Narinder Singh Punn
Sonali Agarwal
SSL
32
35
0
07 Dec 2021
PL-Net: Progressive Learning Network for Medical Image Segmentation
PL-Net: Progressive Learning Network for Medical Image Segmentation
Junlong Cheng
Chengrui Gao
Chaoqing Wang
Zhang Ming
Yong-Liang Yang
Min Zhu
SSeg
28
1
0
27 Oct 2021
A Smartphone based Application for Skin Cancer Classification Using Deep
  Learning with Clinical Images and Lesion Information
A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information
Breno Krohling
Pedro B. C. Castro
André G. C. Pacheco
R. Krohling
MedIm
29
18
0
28 Apr 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
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial
  Training
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
Theodoros Tsiligkaridis
Jay Roberts
AAML
22
11
0
22 Dec 2020
SLSNet: Skin lesion segmentation using a lightweight generative
  adversarial network
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Md. Mostafa Kamal Sarker
Hatem A. Rashwan
Farhan Akram
V. Singh
Syeda Furruka Banu
...
Kabir Ahmed Choudhury
Sylvie Chambon
Petia Radeva
D. Puig
M. Abdel-Nasser
GAN
MedIm
39
27
0
01 Jul 2019
What evidence does deep learning model use to classify Skin Lesions?
What evidence does deep learning model use to classify Skin Lesions?
Xiaoxiao Li
Junyan Wu
Eric Z. Chen
Hongda Jiang
21
9
0
02 Nov 2018
Star Shape Prior in Fully Convolutional Networks for Skin Lesion
  Segmentation
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation
Z. Mirikharaji
Ghassan Hamarneh
SSeg
MedIm
42
122
0
21 Jun 2018
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep
  Neural Network Ensemble
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble
Kazuhisa Matsunaga
Akira Hamada
A. Minagawa
H. Koga
21
164
0
09 Mar 2017
1