Underwater fish detection and counting using mask regional convolutional neural network

T Hong Khai, SNHS Abdullah, MK Hasan, A Tarmizi - Water, 2022 - mdpi.com
Fish production has become a roadblock to the development of fish farming, and one of the
issues encountered throughout the hatching process is the counting procedure. Previous …

Apparent diffusion coefficient values in differential diagnosis and prognostic prediction of solitary of fibrous tumor/hemangiopericytoma (WHOII) and atypical …

Z Lu, Z You, D Xie, Z Wang - Technology and Health Care, 2019 - content.iospress.com
BACKGROUND: It is difficult to distinguish solitary of fibrous tumor/hemangiopericytoma
(SFT/HPC) from atypical meningioma (AM) by conventional imaging. As far as we know …

[PDF][PDF] Prostate cancer classification technique on pelvis CT images

U Sharin, S Abdullah, K Omar, A Adam… - International Journal of …, 2019 - researchgate.net
Prostate cancer is one of the commonest cancer found: the forth in Malaysia and sixth in the
planet with 307 000 mortalities in 2012. Early detection is important to reduce the death rate; …

Automated detection of circular marker particles in synchrotron phase contrast X-ray images of live mouse nasal airways for mucociliary transit assessment

HW Jung, SH Lee, M Donnelley, D Parsons… - Expert Systems with …, 2017 - Elsevier
Cystic Fibrosis is a genetic disease in which the production of thick sticky mucus
compromises the mucociliary transit (MCT) system and causes obstruction of the conducting …

Recent advancements in detection of cancer using various soft computing techniques for MR images

RK Purwar, V Srivastava - … : Proceedings of ICACIE 2016, Volume 1, 2018 - Springer
Cancer is a lethal disease if not detected in an early stage. This paper presents an outline of
different types of cancers and recent advancement in soft computing techniques for their …

[PDF][PDF] Epithelial layer estimation using curvatures and textural features for dysplastic tissue detection

A Adam, AHA Rahman, NS Sani… - CMC-Comput. Mater …, 2021 - cdn.techscience.cn
Boundary effect in digital pathology is a phenomenon where the tissue shapes of biopsy
samples get distorted during the sampling process. The morphological pattern of an …

Coding Algorithm for Grayscale Images–Design of Piecewise Uniform Quantizer with Golomb–Rice Code and Novel Analytical Model for Performance Analysis

N Simić, ZH Perić, MS Savić - Informatica, 2017 - content.iospress.com
Scalar quantizer selection for processing a signal with a unit variance is a difficult problem,
while both selection and quantizer design for the range of variances is even tougher and to …

Renal cancer cell nuclei detection from cytological images using convolutional neural network for estimating proliferation rate

MS Hossain, HA Jalab, F Zulfiqar… - … Electronic and Computer …, 2019 - jtec.utem.edu.my
The Cytological images play an essential role in monitoring the progress of cancer cell
mutation. The proliferation rate of the cancer cell is the prerequisite for cancer treatment. It is …

[PDF][PDF] Injecting tissue texture and morphology comprehension into algorithm for cancer grading

A Adam, AAI Mudjahidin, B Hasan… - Test Eng …, 2020 - researchgate.net
Image technology has many applications in various fields of knowledge including
multimedia systems, biometric security and medical image analysis to diagnose illness. In …

[PDF][PDF] Characterization and analysis of Ki-67-immunoreactivity in brain astrocytoma

IS Shpon'ka, TV Shynkarenko, OV Poslavska - Morphologia, 2016 - repo.dma.dp.ua
Background. A significant problem of brain tumors diagnostics is the subjective histological
criteria. A promising area of research is estimation of mitotic activity level, but counting …