Region of interest (ROI) selection using vision transformer for automatic analysis using whole slide images

MS Hossain, GM Shahriar, MMM Syeed, MF Uddin… - Scientific Reports, 2023 - nature.com
Selecting regions of interest (ROI) is a common step in medical image analysis across all
imaging modalities. An ROI is a subset of an image appropriate for the intended analysis …

Residual Tumor Cellularity Assessment of Breast Cancer after Neoadjuvant Therapy using Image Transformer

MS Hossain, MS Rahman, M Ahmed, N Alfaz… - IEEE …, 2024 - ieeexplore.ieee.org
Residual tumor cellularity (RTC) is assessed routinely after neoadjuvant therapy (NAT) for
Breast Cancer (BC) patients to determine the effectiveness of therapy and plan the …

[PDF][PDF] Convmcd: Convolutional neural network for multi-cancer early detection

A Rahman, R Center, MS Hossain, MM Syeed… - 2023 - researchgate.net
Multi-cancer early detection (MCED) tests are designed to identify the presence of multiple
cancers at an early stage by examining a single specimen. Usually, MCED tests are …

The smart computation of multi-organ spreading analysis of COVID-19 using fuzzy based logical controller

VAK Gorantla, SK Sriramulugari… - … IEEE Technology & …, 2023 - ieeexplore.ieee.org
This study uses a fuzzy-based logical controller to compute the multiorgan spreading
analysis of COVID-19 in a novel way. The proposed method combines the use of fuzzy logic …

Breast Cancer Immunohistochemical Classification Network Based on Fine-Tuned Transfer Learning

J Hu - 2024 5th International Conference on Computer …, 2024 - ieeexplore.ieee.org
Breast cancer is the leading cause of cancer-related deaths among women globally. Early
and accurate diagnosis of breast cancer is of paramount importance. In recent years …

[PDF][PDF] An Ensemble of CNN to Detect Aedes Larva from Low-resolution Smartphone Captured Image

ME Raihan - researchgate.net
There have been numerous reports of infections spread by the Aedes mosquito in
Bangladesh. This number is concerning in several parts of the nation. spreading of this …

[PDF][PDF] Machine Learning Based Liver Disease Classification: A Comparative Study

MM Islam, MJ Moon, A Rahman, MM Hosen, A Hossain… - researchgate.net
Recently, data mining has become a useful tool in the healthcare sector for predicting
disease. The process of mining data involves retrieving information from vast databases …

[PDF][PDF] Early Detection of Chicken Disease using Smartphone Captured Fecal Image

US Salsabil - researchgate.net
The poultry outbreak has always been a concern globally. The disease outbreak can cause
immense financial loss as well as affect human lives. The COVID19 epidemic has educated …

[PDF][PDF] KNN for Breast Cancer Prediction utilizing Wisconsin Cancer Dataset

MS Rahman, M Ahmed, AKB Arnob, MA Niam - researchgate.net
Breast Cancer is one of the life-threatening diseases among females all over the world. This
killer disease, however, when it can be detected in its early stages, can be a lifesaver for …

[PDF][PDF] Automated System to Facilitate Class Attendance using Convolutional Neural Network

M Barkatullah, S Ahmed, JUN Iqra, T Amin… - researchgate.net
Tracking attendance is central to educational and institutional management. Traditional
attendance recording methods are frequently tricky, time-consuming, and error-prone. To …