A Review on Occluded Object Detection and Deep Learning-Based Approach in Medical Imaging-Related Research
Medical image occlusions can arise due to several factors, including anatomical features, imaging modality, and acquisition settings. Object occlusion occurrence has a very significant effect on detection accuracy in general and in medical cases, these effects hinder proper diagnosis and treatment p...
Published in: | Journal of Advanced Research in Applied Sciences and Engineering Technology |
---|---|
Main Author: | Jamaluddin K.R.; Ibrahim S. |
Format: | Article |
Language: | English |
Published: |
Semarak Ilmu Publishing
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179349220&doi=10.37934%2faraset.34.2.363373&partnerID=40&md5=eb301e32206aa81dfdb2c20c8ac21243 |
Similar Items
-
Amplification of pixels in medical image data for segmentation via deep learning object-oriented approach
by: Fadzil A.F.A.; Khalid N.E.A.; Ibrahim S.
Published: (2021) -
Data-Driven Efficient Medical Image Segmentation with Object-Oriented Deep Neural Networks
by: Fadzil A.F.A.; Ibrahim S.; Mangshor N.N.A.; Samah K.A.F.A.; Sabri N.; Md Ghani N.A.
Published: (2023) -
Research on Deep Learning-based Semantic Segmentation Algorithm for UAV Images
by: Yan Q.; Cheng G.
Published: (2023) -
A Review on Deep Convolutional Neural Network Architectures for Medical Image Segmentation
by: Awang Mustapa N.H.; Mat Som M.H.; Basaruddin K.S.; Megat Ali M.S.A.
Published: (2022) -
Multi objective hyperparameter tuning via random search on deep learning models
by: Rom A.R.M.; Jamil N.; Ibrahim S.
Published: (2024)