6 papers
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…
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…
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…
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…
LeafLife: An Explainable Deep Learning Framework with Robustness for Grape Leaf Disease Recognition
B. M. Shahria Alam, Md. Nasim Ahmed
Plant disease diagnosis is essential to farmers' management choices because plant diseases frequently lower crop yield and product quality. For harvests to flourish and agricultura…
Enhancing Tea Leaf Disease Recognition with Attention Mechanisms and Grad-CAM Visualization
Omar Faruq Shikdar, Fahad Ahammed, B. M. Shahria Alam +3
Tea is among the most widely consumed drinks globally. Tea production is a key industry for many countries. One of the main challenges in tea harvesting is tea leaf diseases. If th…