Deep learning framework integrating 18F-FDG PET/CT and clinical data for early prediction of chemotherapy response in advanced breast cancer

XAAI-ledger: An explainable CNN-transformer-based multi-modal deep learning framework for early detection of melanoma and non-melanoma skin cancers using dermoscopic and clinical data

I. Haq, Humayra Atia Joarder, Abdullah Ayub Khan, Xuyang Shi, J. Alsayaydeh, M. Yusof, et al.

A lightweight ALO optimized and learnable skip-connection integrated ResNet architecture for breast cancer diagnosis

Hiren Mewada, Ivan Miguel Pires, Hiren Kumar Thakkar, Amit Patel

Breast cancer is a global health concern, and early detection through screening programs is crucial for reducing mortality. Deep Convolutional Neural Networks (CNNs) are widely adopted for image classification, but their accuracy depends on the number of layers, structure paramet…Read more

Also available via: Elsevier BV

Early prediction of Paroxysmal Atrial Fibrillation via machine learning and an interpretable fuzzy expert system

Francisco Javier Maldonado Carrascosa, José-Ángel Cabrera, S. García Galán, José Enrique Muñoz Expósito, M. Szczerska, A. Marchewka

Improving deep learning explainability by elucidating texture-based learning patterns in medical image segmentation

Saad Abdullah, M. Billah, Victor Armando Canales-Lima, Pragati Manandhar, Lameya Islam, Alexis Gbeckor-Kove, et al.

Early detection of diabetic foot complications via multi-dataset thermography and optimized deep learning

Syed Tahmid, Nowmi Islam, Zajaul Ehsan Sajid, C. M. Rahman, Wais Kafia Chowdhury, Md Kamrul Hasan Foysal

A Deep Learning approach for estimating Time-Domain Heart Rate Variability parameters from wrist photoplethysmography during daily activity

Gianluca Rho, N. Carbonaro, Marco Laurino, A. Tognetti, Alberto Greco