AmygdalaGo-BOLT: an open and reliable deep learning tool to trace boundaries of human amygdala

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Authors: Bo Dong, Quan Zhou, Peng Gao, Xi‐Nian Zuo, Hong-Jian He
Cited by: 0

Abstract

This dataset contains the source code of AmygdalaGo-BOLT, a deep learning framework for automated segmentation of the human amygdala from T1-weighted MRI scans. The repository includes model architectures, configuration files, inference scripts, and pretrained model weights. The code is organized to support reproducible neuroimaging research and can be used for automated amygdala segmentation in structural MRI studies.All example medical images and temporary files have been removed from the repository to ensure privacy protection and safe public release.

Fields of Study & Subjects

Medical Image Segmentation Techniques Brain Tumor Detection and Classification Medical Imaging and Analysis

Publication details

Journal / source
ScienceDB
Publication date
5 March 2026
Language
ZH
Document type
Dataset