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Attention-Based Deep Learning for Breast Cancer MRI Classification
A deep learning pipeline that classifies benign vs malignant breast MRI scans using attention-enhanced DenseNet and VGG16, with visual explainability for clinical transparency.
Acute Lymphoblastic Leukemia Classification from Blood Smear Images
A deep learning study that classifies benign hematogones versus three ALL lymphoblast subtypes (Early Pre-B, Pre-B, Pro-B) from peripheral blood smear microscopy, comparing Modified AlexNet, VGG19, and DenseNet-121.
Lung Cancer Histopathology Classification with Basic CNN & DenseNet-121
A comparative study of Basic CNN, Modified AlexNet, VGG19, and DenseNet-121 on lung histopathology slides, classifying benign lung tissue, adenocarcinoma, and squamous cell carcinoma for digital pathology screening.
Real-Time Object Detection for Autonomous Driving with YOLOv8 & SS3D
A real-time object detection pipeline integrating YOLOv8 for 2D bounding boxes with Single Shot 3D (SS3D) for spatial visualization, detecting cars, pedestrians, and cyclists in driving scenes.
Bangla Braille Character Recognition with YOLOv8 & Faster R-CNN
An accessibility study that detects Bangla letters inside Braille patterns, comparing YOLOv8 and Faster R-CNN to help visually impaired learners read and write in their native language.
CNN Architecture Comparison for Image Classification
A deep learning benchmark of CNN architectures, from a custom Basic CNN to pretrained DenseNet-121, VGG-19, ResNet50, and Modified AlexNet, with transfer learning, augmentation, and full performance analysis.
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