Unified automated deep learning framework for segmentation and classification of liver tumors
S Saumiya, SW Franklin - The Journal of Supercomputing, 2024 - Springer
Cancer is a devastating and deadly disease, and liver cancer is one of the leading causes of
cancer deaths. Early detection of liver tumor is important to choose a treatment plan, get an …
cancer deaths. Early detection of liver tumor is important to choose a treatment plan, get an …
A no-reference measure for uneven illumination assessment on laparoscopic images
TS Nguyen, J Chaussard, M Luong… - … on Image Processing …, 2022 - ieeexplore.ieee.org
A frequent degradation in video-guided surgery and especially laparoscopic and
endoscopic surgery is uneven illumination, due in large part to physical limitations of the …
endoscopic surgery is uneven illumination, due in large part to physical limitations of the …
CT image denoising model using image segmentation for image quality enhancement for liver tumor detection using CNN
V Gavini, GRJ Lakshmi - Traitement du Signal, 2022 - search.proquest.com
Image denoising is an important concept in image processing for improving the image
quality. It is difficult to remove noise from images because of the various causes of noise …
quality. It is difficult to remove noise from images because of the various causes of noise …
Visibility enhancement of brain tumor affected MRI images using adaptive heuristic process
R Kumar, AK Bhandari - Health and Technology, 2024 - Springer
Purpose Magnetic resonance imaging (MRI) is a frequently used system in medical imaging
and disease interpretation. Most of the time, MRIs in humans show detailed tissue …
and disease interpretation. Most of the time, MRIs in humans show detailed tissue …
Process model analysis of parenchyma sparing laparoscopic liver surgery to recognize surgical steps and predict impact of new technologies
M Gholinejad, B Edwin, OJ Elle, J Dankelman… - Surgical …, 2023 - Springer
Background Surgical process model (SPM) analysis is a great means to predict the surgical
steps in a procedure as well as to predict the potential impact of new technologies …
steps in a procedure as well as to predict the potential impact of new technologies …
Species Wise Classification of Crust Leather images based on histogram equalization
SN Vasagam, M Sornam - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
The classification of Crust leather on various animal species is one of the sorting processes
in leather production. At the Industry under the sorting process, segregation of Crust leather …
in leather production. At the Industry under the sorting process, segregation of Crust leather …
Is histogram manipulation always beneficial when trying to improve model performance across devices? Experiments using a meibomian gland segmentation model
X Deng, L Tian, Y Zhang, A Li, S Cai… - Frontiers in Cell and …, 2022 - frontiersin.org
Meibomian gland dysfunction (MGD) is caused by abnormalities of the meibomian glands
(MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is …
(MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is …
Cross-modal guidance assisted hierarchical learning based siamese network for mr image denoising
Cross-modal medical imaging techniques are predominantly being used in the clinical suite.
The ensemble learning methods using cross-modal medical imaging adds reliability to …
The ensemble learning methods using cross-modal medical imaging adds reliability to …
[HTML][HTML] Multi-phase features interaction transformer network for liver tumor segmentation and microvascular invasion assessment in contrast-enhanced CT
W Zhang, Y Tao, Z Huang, Y Li, Y Chen… - Mathematical …, 2024 - aimspress.com
Precise segmentation of liver tumors from computed tomography (CT) scans is a
prerequisite step in various clinical applications. Multi-phase CT imaging enhances tumor …
prerequisite step in various clinical applications. Multi-phase CT imaging enhances tumor …
[PDF][PDF] Addressing Overfitting in Dermatological Image Analysis with Bayesian Convolutional Neural Network
MI Zulfa, AS Aryanto, B Abelian… - Jurnal Ilmiah Teknik Elektro …, 2024 - eprints.uad.ac.id
VGG, ResNet, and DenseNet are popular convolutional neural network (CNN) designs for
transfer learning (TL), aiding dermatological image processing, particularly in skin cancer …
transfer learning (TL), aiding dermatological image processing, particularly in skin cancer …