Abstract: To explore the application of convolutional neural network(CNN) in CT image diagnosis of hepatic hydatid disease, we implement a classification ...

paper, an improved convolutional neural network based on. Lenet-5 is proposed for the diagnosis of hepatic hydatidosis in. CT images. The aim of work is to ...

Liu et al. (Liu et al. 2019 ) presented a hepatic echinococcosis detection approach using CNN. Collected CT images of normal liver, single-cystic liver ...

Mar 12, 2021 · Objective: This study focuses on the automatic classification system of five different subtypes of hepatic cystic echinococcosis based on ...

We trained and validated the DCNN model to diagnose and classify echinococcosis using still greyscale ultrasound images of focal liver lesions in four stages: ...

We aimed to develop a deep convolutional neural network (DCNN) model based ... classify echinococcosis using still greyscale ultrasound images of focal liver ...

Mar 12, 2021 · This study focuses on the automatic classification system of five different subtypes of hepatic cystic echinococcosis based on ultrasound images ...

Xin et al. 28 proposed an automatic HE lesion segmentation and classification network based on CT images. They collected the CT scans from 160 patients (CE 103 ...

Oct 10, 2023 · Abstract: Hepatic echinococcosis is a serious regional parasitic disease. The diagnosis and classification of lesions mainly rely on the ...

Automatic lesion segmentation and classification of hepatic echinococcosis using a multiscale-feature convolutional neural network. Med. Biol. Eng. Comput ...