20 citations · 27 across the 4 of their papers we have counts for
4 papers
Mediastinal Lymph Node Detection and Segmentation Using Deep Learning
Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori
Automatic lymph node (LN) segmentation and detection for cancer staging are critical. In clinical practice, computed tomography (CT) and positron emission tomography (PET) imaging…
Coronavirus disease situation analysis and prediction using machine learning: a study on Bangladeshi population
Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori
During a pandemic, early prognostication of patient infected rates can reduce the death by ensuring treatment facility and proper resource allocation. In recent months, the number…
Extraction of Key-frames of Endoscopic Videos by using Depth Information
Pradipta Sasmal, Avinash Paul, M. K. Bhuyan +1
A deep learning-based monocular depth estimation (MDE) technique is proposed for selection of most informative frames (key frames) of an endoscopic video. In most of the cases, gro…
Pseudo vs. True Defect Classification in Printed Circuits Boards using Wavelet Features
Sahil Sikka, Karan Sikka, M. K. Bhuyan +1
In recent years, Printed Circuit Boards (PCB) have become the backbone of a large number of consumer electronic devices leading to a surge in their production. This has made it imp…