Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network

Utilizing WSIs, we implemented an automated workflow with deep CNN model that accurately classifies driver mutations in PTCs.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2024-11-05
DOI
https://doi.org/10.3389/fendo.2024.1395979
Citations
4
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network

Chang‐Jiun Wu, Peiling Tsou
4 citations
Frontiers in Endocrinology
AI in cancer detection
1.39
article

Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network

Chang‐Jiun Wu, Peiling Tsou
article en
4 citations

Abstract

Utilizing WSIs, we implemented an automated workflow with deep CNN model that accurately classifies driver mutations in PTCs.

Frontiers in EndocrinologyVol. 15
The University of Texas MD Anderson Cancer Center (US)
Openalex Percentile: Top 15%
AI in cancer detection
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Classifying driver mutations of papillary thyroid carcinoma on whole slide image: an automated workflow applying deep convolutional neural network — Chang‐Jiun Wu, Peiling Tsou · Frontiers in Endocrinology (2024) | TGRS Research Map | TGRS