Deep Learning Model With Convolutional Neural Network for Detecting and Segmenting Hepatocellular Carcinoma in CT: A Preliminary Study-Reference-Cited by-同舟云学术

Deep Learning Model With Convolutional Neural Network for Detecting and Segmenting Hepatocellular Carcinoma in CT: A Preliminary Study

Published:2022-01-17 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Duc Vo Tan,Chien Phan Cong,Huyen Le Duy Mai,Chau Tran Le Minh,Chanh Nguyen Do Trung,Soan Duong Thi Minh,Huyen Hoang Cao,Thanh Huynh Minh,Hy Le Nguyen Gia,Nam Nguyen Hoang,Uyen Mai Thi Tu,Nhi Le Huu Hanh,Minh Le Huu Nhat

Publisher

Cureus, Inc.

Subject

Aerospace Engineering

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2. Application of artificial intelligence in the diagnosis of hepatocellular carcinoma;eGastroenterology;2023-11

3. Radiomics: A radiological evidence-based artificial intelligence technique to facilitate personalized precision medicine in hepatocellular carcinoma;Digestive and Liver Disease;2023-07

4. CIABNet: Category imbalance attention block network for the classification of multi‐differentiated types of esophageal cancer;Medical Physics;2022-11-03

5. High precision detection of small hepatocellular carcinoma using improved EfficientNet with Self-Attention;2022 IEEE/ACIS 22nd International Conference on Computer and Information Science (ICIS);2022-06-26