MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images

5 June 2018

Hao Chen

Pheng-Ann Heng

Papers citing "MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images"

21 / 21 papers shown

Title
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 36 0 0 14 May 2025
RepSNet: A Nucleus Instance Segmentation model based on Boundary Regression and Structural Re-parameterization Shengchun Xiong Xiangru Li Yunpeng Zhong Wanfen Peng 62 0 0 08 May 2025
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation Linshan Wu Yuxiang Nie Sunan He Jiaxin Zhuang Hao Chen LM&MA MedIm 73 0 0 30 Apr 2025
Tissue Concepts: supervised foundation models in computational pathology Till Nicke Jan Raphael Schaefer Henning Hoefener Friedrich Feuerhake Dorit Merhof Fabian Kiessling Johannes Lotz MedIm 42 0 0 05 Sep 2024
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation Qiangguo Jin Hui Cui Changming Sun Yang Song Jiangbin Zheng Leilei Cao Leyi Wei Ran Su 41 17 0 19 Mar 2024
Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention Huadeng Wang Jiejiang Yu Bingbing Li Xipeng Pan Zhenbing Liu Rushi Lan Xiaonan Luo MedIm 18 0 0 29 Jan 2024
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation Deyi Ji Feng Zhao Hongtao Lu ViT 41 15 0 03 Jul 2023
GNNFormer: A Graph-based Framework for Cytopathology Report Generation Yangqiaoyu Zhou Kai-Lang Yao Wusuo Li MedIm 11 1 0 17 Mar 2023
Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology Jingwei Zhang S. Kapse Ke Ma Prateek Prasanna Maria Vakalopoulou Joel H. Saltz Dimitris Samaras 18 9 0 23 Dec 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images Jiawei Yang Hanbo Chen Yuan Liang Junzhou Huang Lei He Jianhua Yao 30 18 0 14 Jul 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 19 4 0 22 Jun 2022
A review of machine learning approaches, challenges and prospects for computational tumor pathology Liangrui Pan Zhichao Feng Shaoliang Peng AI4CE 13 7 0 31 May 2022
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 17 24 0 17 Dec 2021
Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification S. Graham Mostafa Jahanifar A. Azam M. Nimir Yee Wah Tsang ... S. Raza H. Eldaly K. Gopalakrishnan David R. J. Snead Nasir M. Rajpoot 22 123 0 25 Aug 2021
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
Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations Andreas Panteli Jonas Teuwen H. Horlings E. Gavves 21 3 0 21 Apr 2021
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 13 87 0 06 Apr 2020
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 19 134 0 07 Jul 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes D. Z. Chen MedIm 22 13 0 28 Feb 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015