Clipath: Fine-tune clip with visual feature fusion for pathology image analysis towards minimizing data collection efforts
Abstract Contrastive Language-Image Pre-training (CLIP) has shown its ability to learn
distinctive visual representations and generalize to various downstream vision tasks …
distinctive visual representations and generalize to various downstream vision tasks …
Joint semi-supervised and active learning for segmentation of gigapixel pathology images with cost-effective labeling
The need for manual and detailed annotations limits the applicability of supervised deep
learning algorithms in medical image analyses, specifically in the field of pathology. Semi …
learning algorithms in medical image analyses, specifically in the field of pathology. Semi …
Preanalytic variable effects on segmentation and quantification machine learning algorithms for amyloid-β analyses on digitized human brain slides
LC Oliveira, Z Lai, D Harvey, K Nzenkue… - … of Neuropathology & …, 2023 - academic.oup.com
Computational machine learning (ML)-based frameworks could be advantageous for
scalable analyses in neuropathology. A recent deep learning (DL) framework has shown …
scalable analyses in neuropathology. A recent deep learning (DL) framework has shown …
A semi-supervised learning for segmentation of gigapixel histopathology images from brain tissues
Automated segmentation of grey matter (GM) and white matter (WM) in gigapixel
histopathology images is advantageous to analyzing distributions of disease pathologies …
histopathology images is advantageous to analyzing distributions of disease pathologies …
[HTML][HTML] Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis
The efficacy of supervised deep learning in medical image analyses, particularly in
pathology, is hindered by the necessity for extensive manual annotations. Annotating …
pathology, is hindered by the necessity for extensive manual annotations. Annotating …
BrainSec: automated brain tissue segmentation pipeline for scalable neuropathological analysis
As neurodegenerative disease pathological hallmarks have been reported in both grey
matter (GM) and white matter (WM) with different density distributions, automating the …
matter (GM) and white matter (WM) with different density distributions, automating the …
Automated Segmentation of Amyloid-β Stained Whole Slide Images of Brain Tissue
Neurodegenerative disease pathologies have been reported in both grey matter (GM) and
white matter (WM) with different density distributions, an automated separation task of …
white matter (WM) with different density distributions, an automated separation task of …
[PDF][PDF] Interpretable Segmentation of Amyloid-β Stained Whole Slide Images of Brain Tissue
Z Lai, R Guo, W Xu, Z Hu, K Mifflin, BN Dugger… - bioRxiv, 2020 - scholar.archive.org
Neurodegenerative disease pathologies have been reported in both grey matter (GM) and
white matter (WM) with different density distributions, an automated separation task of …
white matter (WM) with different density distributions, an automated separation task of …