MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

S Graham, H Chen, J Gamper, Q Dou, PA Heng… - Medical image …, 2019 - Elsevier
The analysis of glandular morphology within colon histopathology images is an important
step in determining the grade of colon cancer. Despite the importance of this task, manual …

Gland instance segmentation using deep multichannel neural networks

Y Xu, Y Li, Y Wang, M Liu, Y Fan, M Lai… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Objective: A new image instance segmentation method is proposed to segment individual
glands (instances) in colon histology images. This process is challenging since the glands …

Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization

P Kainz, M Pfeiffer, M Urschler - PeerJ, 2017 - peerj.com
Segmentation of histopathology sections is a necessary preprocessing step for digital
pathology. Due to the large variability of biological tissue, machine learning techniques have …

Gland segmentation in colon histology images: The glas challenge contest

K Sirinukunwattana, JPW Pluim, H Chen, X Qi… - Medical image …, 2017 - Elsevier
Colorectal adenocarcinoma originating in intestinal glandular structures is the most common
form of colon cancer. In clinical practice, the morphology of intestinal glands, including …

Enhancing gland segmentation in colon histology images using an instance-aware diffusion model

M Sun, J Wang, Q Gong, W Huang - Computers in biology and medicine, 2023 - Elsevier
In pathological image analysis, determination of gland morphology in histology images of
the colon is essential to determine the grade of colon cancer. However, manual …

Gland instance segmentation by deep multichannel side supervision

Y Xu, Y Li, M Liu, Y Wang, M Lai, EIC Chang - Medical Image Computing …, 2016 - Springer
In this paper, we propose a new image instance segmentation method that segments
individual glands (instances) in colon histology images. This is a task called instance …

Gland segmentation in colorectal cancer histopathological images using U-net inspired convolutional network

P Rastogi, K Khanna, V Singh - Neural Computing and Applications, 2022 - Springer
The accurate gland segmentation from digitized H&E (hematoxylin and eosin) histology
images with a wide range of histologic grades of cancer is quite challenging. The …

Automatic segmentation of colon glands using object-graphs

C Gunduz-Demir, M Kandemir, AB Tosun… - Medical image …, 2010 - Elsevier
Gland segmentation is an important step to automate the analysis of biopsies that contain
glandular structures. However, this remains a challenging problem as the variation in …

Two path gland segmentation algorithm of colon pathological image based on local semantic guidance

S Ding, H Wang, H Lu, M Nappi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Colonic adenocarcinoma is a disease severely endangering human life caused by mucosal
epidermal carcinogenesis. The segmentation of potentially cancerous glands is the key in …

Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks

W Li, S Manivannan, S Akbar, J Zhang… - 2016 IEEE 13th …, 2016 - ieeexplore.ieee.org
We investigate glandular structure segmentation in colon histology images as a window-
based classification problem. We compare and combine methods based on fine-tuned …