Colorectal Gland Segmentation:
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Benchmarks
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
Rotation equivariant vector field networks
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Papers
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
Although recent works in semi-supervised learning (SemiSL) have accomplished significant success in natural image segmentation, the task of learning discriminative representations from limited annotations has been an…
Colorectal Gland Segmentation:Contrastive LearningImage SegmentationMedical Image Segmentation+5Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear. However, this rotational symmetry is not widely utilised as prior knowledge in modern Convolutional Neural …
Breast Tumour ClassificationColorectal Gland Segmentation:Multi-tissue Nucleus SegmentationNuclear Segmentation+1Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications. We propose a framework to encode the geometric structure of the …
BIG-bench Machine LearningBreast Tumour ClassificationColorectal Gland Segmentation:Data Augmentation+4Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
Colon Cancer is one of the most common types of cancer. The treatment is planned to depend on the grade or stage of cancer. One of the preconditions for grading of colon cancer is to segment the glandular structures of t…
BIG-bench Machine LearningColorectal Gland Segmentation:Medical Image SegmentationSegmentationMILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
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 segmentation is laborious, time-consuming…
Colorectal Gland Segmentation:Decision MakingDiagnosticInstance Segmentation+3Learning Steerable Filters for Rotation Equivariant CNNs
In many machine learning tasks it is desirable that a model's prediction transforms in an equivariant way under transformations of its input. Convolutional neural networks (CNNs) implement translational equivariance by c…
Breast Tumour ClassificationColorectal Gland Segmentation:Multi-tissue Nucleus SegmentationRotated MNIST