Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders

Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders

Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Currently, pathologists diagnose the PTC by interpreting their nuclei. However, the existing diagnosis method is difficult to interpret, especially for the cases falling in the borderline zones. According to the advances in...

Full description

Saved in:
Bibliographic Details
Main Authors: Thanat Payatsuporn, Pittipol Kantavat, Nichthida Tangnuntachai, Nopporn Tipparawong, Waratchanok Techapapa, Boonserm Kijsirikul, Somboon Keelawat
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Papillary thyroid carcinoma
histopathology image
pathology
deep learning
convolution neural network
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10848109/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10848109/

Similar Items