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Y-Net: Joint Segmentation and Classification for Diagnosis of Breast
  Biopsy Images

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

4 June 2018
Sachin Mehta
E. Mercan
Jamen Bartlett
D. Weaver
J. Elmore
Linda G. Shapiro
ArXivPDFHTML

Papers citing "Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images"

15 / 15 papers shown
Title
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and
  Classification for Diabetic Retinopathy Grading
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Hasan Md Tusfiqur
D. M. Nguyen
M. T. N. Truong
T. A. Nguyen
Binh Duc Nguyen
...
H. Profitlich
Ngoc T. T. Than
Ngan Le
P. Xie
Daniel Sonntag
MedIm
21
8
0
30 Dec 2022
Valuing Vicinity: Memory attention framework for context-based semantic
  segmentation in histopathology
Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology
Oliver Ester
Fabian Horst
C. Seibold
J. Keyl
Saskia Ting
...
P. Ivanyi
Viktor Grünwald
J. Bräsen
Jan Egger
Jens Kleesiek
19
7
0
21 Oct 2022
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for
  Edge Segmentation of Medical Image
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image
Jinkai Lv
Yuyong Hu
Quanshui Fu
Zhiwang Zhang
Yuqiang Hu
Lin Lv
Guoqing Yang
Jinpeng Li
Yi Zhao
MedIm
15
9
0
23 Aug 2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in
  Biometric Measurements
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements
Szymon Płotka
Adam Klasa
Aneta Lisowska
Joanna Seliga-Siwecka
M. Lipa
Tomasz Trzciñski
Arkadiusz Sitek
29
33
0
27 May 2022
UNeXt: MLP-based Rapid Medical Image Segmentation Network
UNeXt: MLP-based Rapid Medical Image Segmentation Network
Jeya Maria Jose Valanarasu
Vishal M. Patel
SSeg
27
477
0
09 Mar 2022
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients
  with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
Mingyuan Meng
B. Gu
Lei Bi
Shaoli Song
D. Feng
Jinman Kim
MedIm
11
38
0
16 Sep 2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble
  for Breast Cancer Histology Image Classification
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Zakaria Senousy
M. Abdelsamea
M. Gaber
Moloud Abdar
R. Acharya
Abbas Khosravi
S. Nahavandi
10
55
0
24 Aug 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
106
0
01 Jul 2021
Weakly Supervised 3D Classification of Chest CT using Aggregated
  Multi-Resolution Deep Segmentation Features
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features
A. Saha
F. I. Tushar
Khrystyna Faryna
Vincent M. DÁnniballe
Rui Hou
Maciej Mazurowski
Geoffrey D. Rubin
J. Lo
9
7
0
31 Oct 2020
Learning to segment images with classification labels
Learning to segment images with classification labels
Ozan Ciga
Anne L. Martel
VLM
21
25
0
28 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
33
667
0
16 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
16
750
0
27 Aug 2019
Myocardial Infarction Quantification From Late Gadolinium Enhancement
  MRI Using Top-hat Transforms and Neural Networks
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks
Ezequiel de la Rosa
D. Sidibé
Thomas Decourselle
T. Leclercq
A. Cochet
A. Lalande
22
16
0
09 Jan 2019
AUNet: Attention-guided dense-upsampling networks for breast mass
  segmentation in whole mammograms
AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
Hui Sun
Cheng Li
Boqiang Liu
Hairong Zheng
David Dagan Feng
Shanshan Wang
24
120
0
24 Oct 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
43
777
0
19 Mar 2018
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