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. 1707.09597
  4. Cited By
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast
  Cancer Detection from Whole-Slide Images

ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images

30 July 2017
Huangjing Lin
Hao Chen
Qi Dou
Liansheng Wang
J. Qin
Pheng-Ann Heng
    MedIm
ArXiv (abs)PDFHTML

Papers citing "ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images"

12 / 12 papers shown
Title
Joint Modelling Histology and Molecular Markers for Cancer Classification
Joint Modelling Histology and Molecular Markers for Cancer Classification
Xiaofei Wang
Hanyu Liu
Yupei Zhang
Boyang Zhao
Hao Duan
Wanming Hu
Yonggao Mou
S. Price
Chao Li
168
0
0
11 Feb 2025
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSLMedIm
63
19
0
15 Mar 2022
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis:
  A Comprehensive Review
What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review
Xiaoqi Li
Hao Chen
Chen Li
M. Rahaman
Xintong Li
Jian Wu
Xirong Li
Hongzan Sun
M. Grzegorzek
78
6
0
21 Jan 2022
A Comprehensive Review of Computer-aided Whole-slide Image Analysis:
  from Datasets to Feature Extraction, Segmentation, Classification, and
  Detection Approaches
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Chen Li
Xintong Li
M. Rahaman
Xirong Li
Hongzan Sun
...
Yong Zhang
Xiaoqi Li
Jian Wu
Yudong Yao
M. Grzegorzek
102
199
0
21 Feb 2021
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images
  for Cancer Detection
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
I. Reshma
Sylvain Cussat-Blanc
Radu Tudor Ionescu
H. Luga
Josiane Mothe
OOD
10
4
0
21 Dec 2020
Self-similarity Student for Partial Label Histopathology Image
  Segmentation
Self-similarity Student for Partial Label Histopathology Image Segmentation
Hsien-Tzu Cheng
Chun-Fu Yeh
Po-Chen Kuo
Andy Wei
Keng-Chi Liu
Mong-Chi Ko
Kuan-Hua Chao
Yu-Ching Peng
Tyng-Luh Liu
112
20
0
19 Jul 2020
A Comprehensive Review for Breast Histopathology Image Analysis Using
  Classical and Deep Neural Networks
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks
Xiaomin Zhou
Chen Li
M. Rahaman
Yudong Yao
Shiliang Ai
Changhao Sun
Xiaoyan Li
Qian Wang
Tao Jiang
120
137
0
27 Mar 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
162
582
0
28 Dec 2019
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in
  Different Image Domains
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Lyndon Chan
Mahdi S. Hosseini
Konstantinos N. Plataniotis
93
101
0
24 Dec 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in
  Ultrasound Images
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Aleksandar Vakanski
Min Xian
Phoebe E. Freer
88
144
0
20 Oct 2019
Large-scale Gastric Cancer Screening and Localization Using Multi-task
  Deep Neural Network
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Hong Yu
Xiaofan Zhang
Ling-Jun Song
Liren Jiang
Xiaodi Huang
...
Weiwei Sun
Yangqiong Zhang
Guangyi Peng
Weiwei Shen
Guohui Fu
73
13
0
09 Oct 2019
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance
  Segmentation in Colon Histology Images
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
S. Graham
Hao Chen
Jevgenij Gamper
Qi Dou
Pheng-Ann Heng
David R. J. Snead
Yee Wah Tsang
Nasir M. Rajpoot
MedIm
91
307
0
05 Jun 2018
1