Tunisian Lung Cancer Dataset: Collection, Annotation and Validation with Transfer Learning

Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification

We present working notes on transfer learning with semi-supervised dataset annotation for the BirdCL

Automated Lung Cancer Diagnosis Using Transfer Learning with EfficientNetV2-S: A Deep Learning Approach Based on IQ-OTHNCCD Dataset

Development and validation of a predictive score of venous thromboembolism in patients with lung cancer: Tunisian Survey

Transformer-Based Clinical Annotation of Lung Cancer Reports: A Benchmark and Fine-Tuning Study on a Novel Tunisian Corpus

Background: Lung cancer causes more deaths than any other malignancy worldwide, accounting for 2.2 m

Lung Cancer Dataset (Moanstir Tunisia 2002-2022)

This anonymized dataset contains clinical and epidemiological information on patients diagnosed with

Development and validation of a prognostic index for survival in non-small cell lung cancer: Results from a Tunisian cohort study