Weakly-supervised learning for lung carcinoma classification using deep learning

Fahdi Kanavati, Gouji Toyokawa, Seiya Momosaki

Deep Learning Models for Medical Imaging

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

Md. Milon Islam, Fakhri Karray, Reda Alhajj

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Juan C. Caicedo, Jonathan Roth, Allen Goodman

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges

Muhammad Waqas Nadeem, Mohammed A. Al Ghamdi, Muzammil Hussain et al.

Contrastive learning of global and local features for medical image\n segmentation with limited annotations

Krishna Chaitanya, Ertunç Erdil, Neerav Karani

Deep Learning based Radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma

Zeju Li, Yuanyuan Wang, Jinhua Yu

Medical image segmentation algorithm based on multilayer boundary perception-self attention deep learning model

Fengping An, Jun-e Liu

Survey on semantic segmentation using deep learning techniques

Fahad Lateef, Yassine Ruichek

COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet

Adnan Saood, Iyad Hatem

CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron

Wenyu Xing, Zhibin Zhu, Dongni Hou

A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities

Neha Thakur, Pardeep Kumar, A. P. Siva Kumar