Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference81 articles.
1. AI-based carcinoma detection and classification using histopathological images: A systematic review;Prabhu;Comput. Biol. Med.,2022
2. Detection and classification of pulmonary nodules using convolutional neural networks: A survey;Monkam;IEEE Access,2019
3. Lung nodule classification on computed tomography images using deep learning;Naik;Wirel. Pers. Commun.,2021
4. Pulmonary nodule detection in CT scans with equivariant CNNs;Winkels;Med. Image Anal.,2019
5. A comprehensive review of computer-aided diagnosis of pulmonary nodules based on computed tomography scans;Cao;IEEE Access,2020
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