collaborators

5 papers

cs.CV2026

RetinaVision: XAI-Driven Augmented Regulation for Precise Retinal Disease Classification using deep learning framework

Mohammad Tahmid Noor, Shayan Abrar, Jannatul Adan Mahi +3

Early and accurate classification of retinal diseases is critical to counter vision loss and for guiding clinical management of retinal diseases. In this study, we proposed a deep…

eess.IV2026

Deep Learning for Dermatology: An Innovative Framework for Approaching Precise Skin Cancer Detection

Mohammad Tahmid Noor, B. M. Shahria Alam, Tasmiah Rahman Orpa +3

Skin cancer can be life-threatening if not diagnosed early, a prevalent yet preventable disease. Globally, skin cancer is perceived among the finest prevailing cancers and millions…

cs.CV2026

Healthy Harvests: A Comparative Look at Guava Disease Classification Using InceptionV3

Samanta Ghosh, Shaila Afroz Anika, Umma Habiba Ahmed +3

Guava fruits often suffer from many diseases. This can harm fruit quality and fruit crop yield. Early identification is important for minimizing damage and ensuring fruit health. T…

eess.IV2026

Smart Diagnosis and Early Intervention in PCOS: A Deep Learning Approach to Women's Reproductive Health

Shayan Abrar, Samura Rahman, Ishrat Jahan Momo +4

Polycystic Ovary Syndrome (PCOS) is a widespread disorder in women of reproductive age, characterized by a hormonal imbalance, irregular periods, and multiple ovarian cysts. Infert…

cs.CV2026

Toward Reliable and Explainable Nail Disease Classification: Leveraging Adversarial Training and Grad-CAM Visualization

Farzia Hossain, Samanta Ghosh, Shahida Begum +4

Human nail diseases are gradually observed over all age groups, especially among older individuals, often going ignored until they become severe. Early detection and accurate diagn…