Md. Kamrul Hasan, Md. Toufick E Elahi, Md. Ashraful Alam, Md. Tasnim Jawad et al.
Although automated Skin Lesion Classification (SLC) is a crucial integral step in computer-aided diagnosis, it remains challenging due to variability in textures, colors, indistinguishable boundaries, and shapes. This article proposes an automated dermoscopic SLC framework named Dermoscopic Expert (...
Md. Kamrul Hasan, Md. Ashraful Alam, Shidhartho Roy, Aishwariya Dutta et al.
Recently, numerous studies have been conducted on Missing Value Imputation (MVI), intending the primary solution scheme for the datasets containing one or more missing attribute’s values. The incorporation of MVI reinforces the Machine Learning (ML) models’ performance and necessitates a systematic ...
Chayan Mondal, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal et al.
Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by the presence of excess immature lymphocytes., Even though automation in ALL prognosis is essential for cancer diagnosis, it remains a challenge due to the morphological correlation between malignant and normal cells. The trad...
Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Abdul Awal et al.
Measles is one of the significant public health issues responsible for the high mortality rate around the globe, especially for developing countries. Using nationally representative demographic and health survey data, measles vaccine utilization has been classified, and its underlying factors are id...
Md. Kamrul Hasan, Md. Toufick E Elahi, Md. Ashraful Alam, Md. Tasnim Jawad
Abstract Background and Objective Although automated Skin Lesion Classification (SLC) is a crucial integral step in computeraided diagnosis, it remains challenging due to inconsistency in textures, colors, indistinguishable boundaries, and shapes. Methods This article proposes an automated dermoscop...
Md. Tasnim Jawad, Ashfak Yeafi, Kalyan Kumar Halder
In modern neuro-oncology, computer-aided biomedical image retrieval (CBIR) tools have recently gained significant popularity due to their quick and easy usage and high-performance capability. However, designing such an automated tool remains challenging because of the lack of balanced resources and ...
Md. Kamrul Hasan, Md. Tasnim Jawad, Kazi Nasim Imtiaz Hasan, Sajal Basak Partha et al.
The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity are imperative for disease diagnosis and prognosis as early as possible. It also can be a helpful tool in triage for testing and clinical supervision of COVID-19 patients. H...
Limon Halder, Shetu Mohanto, Monira Islam, Md. Tasnim Jawad
Fetal head segmentation plays an important role in monitoring fetal growth during pregnancy. Automating the segmentation of the fetal head contributes to reducing the workload of healthcare professionals and ensures more consistent and reliable assessments of fetal development. This study introduces...
Md. Kamrul Hasan, Md. Tasnim Jawad
Breast Cancer (BC) is one of the numerous typical diseases worldwide, occurring in 22.9% of all cancers in women and causing 13.7% of cancer deaths. The BC prognosis is highly demanded to increase the survival rate of the patient suffering from BC. Throughout this paper, an automated decision-making...
Md. Arafatur Rahman, Nafisa Tasnim, Md. Sen Bin Mustafiz, Abror Jawad et al.
This study introduces an extremely sensitive internally coated circular channel biosensor that uses surface plasmon resonance (SPR) featuring a slotted air hole-based photonic crystal fiber (PCF) capable of sensing an ultra-wide variation in sample analyte refractive index (RI). Gold (Au) strips are...
Abu Sadat Muhammad Sayem, Md. Mahbubor Rahman, Jannatul Fardus, Sumaiya Mohsina et al.
Md. Arafat Rahman, Abror Jawad, Nafisa Tasnim
This study introduces a highly sensitive twin circular channel photonic crystal fiber (PCF) biosensor based on surface plasmon resonance (SPR), capable of sensing a wide range of analyte refractive indices (RI). Gold (Au) strips are chosen as the plasmonic material because of their well-known chemic...
Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md. Ashraful Alam et al.
Automated skin lesion analysis for simultaneous detection and recognition is still challenging for inter-class homogeneity and intra-class heterogeneity, leading to low generic capability of a Single Convolutional Neural Network (CNN) with limited datasets. This article proposes an end-to-end deep C...