5 citations · 6 across the 3 of their papers we have counts for
5 papers
Acute Lymphoblastic Leukemia Detection from Microscopic Images Using Weighted Ensemble of Convolutional Neural Networks
Chayan Mondal, Md. Kamrul Hasan, Md. Tasnim Jawad +4
Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by numerous immature lymphocytes. Even though automation in ALL prognosis is an essential aspect of cancer d…
Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier
Md. Kamrul Hasan, Tajwar Abrar Aleef
Mammography is the most widely used gold standard for screening breast cancer, where, mass detection is considered as the prominent step. Detecting mass in the breast is, however,…
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
Md. Kamrul Hasan, Lavsen Dahal, Prasad N. Samarakoon +2
Automatic segmentation of skin lesion is considered a crucial step in Computer Aided Diagnosis (CAD) for melanoma diagnosis. Despite its significance, skin lesion segmentation rema…
Brain Tissue Segmentation Using NeuroNet With Different Pre-processing Techniques
Fakrul Islam Tushar, Basel Alyafi, Md. Kamrul Hasan +1
Automatic segmentation of brain Magnetic Resonance Imaging (MRI) images is one of the vital steps for quantitative analysis of brain for further inspection. In this paper, NeuroNet…
A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Md Kamrul Hasan, Christopher J. Pal
We examine a new form of smooth approximation to the zero one loss in which learning is performed using a reformulation of the widely used logistic function. Our approach is based…