RLMD‐PA: a reinforcement learning‐based myocarditis diagnosis combined with a population‐based algorithm for pretraining weights
SV Moravvej, R Alizadehsani, S Khanam… - Contrast Media & …, 2022 - Wiley Online Library
Myocarditis is heart muscle inflammation that is becoming more prevalent these days,
especially with the prevalence of COVID‐19. Noninvasive imaging cardiac magnetic …
especially with the prevalence of COVID‐19. Noninvasive imaging cardiac magnetic …
Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation
Brain tumor analysis in MRI images is a significant and challenging issue because
misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages …
misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages …
RLAS‐BIABC: A Reinforcement Learning‐Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
H Gharagozlou, J Mohammadzadeh… - Computational …, 2022 - Wiley Online Library
Answer selection (AS) is a critical subtask of the open‐domain question answering (QA)
problem. The present paper proposes a method called RLAS‐BIABC for AS, which is …
problem. The present paper proposes a method called RLAS‐BIABC for AS, which is …
FAZSeg: a new software for quantification of the foveal avascular zone
VK Viekash, J Jothi Balaji… - Clinical …, 2021 - Taylor & Francis
Introduction Various ocular diseases and high myopia influence the anatomical reference
point Foveal Avascular Zone (FAZ) dimensions. Therefore, it is important to segment and …
point Foveal Avascular Zone (FAZ) dimensions. Therefore, it is important to segment and …
Brain tumor classification using medial residual encoder layers
According to the World Health Organization (WHO), cancer is the second leading cause of
death worldwide, responsible for over 9.5 million deaths in 2018 alone. Brain tumors count …
death worldwide, responsible for over 9.5 million deaths in 2018 alone. Brain tumors count …
Automatic choroid vascularity index calculation in optical coherence tomography images with low-contrast sclerochoroidal junction using deep learning
The choroidal vascularity index (CVI) is a new biomarker defined for retinal optical
coherence tomography (OCT) images for measuring and evaluating the choroidal vascular …
coherence tomography (OCT) images for measuring and evaluating the choroidal vascular …
Medial residual encoder layers for classification of brain tumors in magnetic resonance images
Correct and timely diagnosis of the brain tumor will make treatment more effective. To date,
several image classification approaches have been proposed to aid diagnosis and …
several image classification approaches have been proposed to aid diagnosis and …
Brain tumor classification by cascaded multiscale multitask learning framework based on feature aggregation
Brain tumor analysis in MRI images is a significant and challenging issue because
misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages …
misdiagnosis can lead to death. Diagnosis and evaluation of brain tumors in the early stages …
Enhancing Multi-view Mammography Image Classification: By using Breast Region Extraction Method and Statistical Features
NS Bidabadi, E Mahmoudzadeh - 2024 13th Iranian/3rd …, 2024 - ieeexplore.ieee.org
Breast cancer is one of the most dangerous diseases among women. Different methods are
used to diagnose this cancer that among these, imaging and computer-aided systems are …
used to diagnose this cancer that among these, imaging and computer-aided systems are …
[PDF][PDF] Research Article RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights
Hindawi Contrast Media & Molecular Imaging Volume 2022, Article ID 8733632, 15 pages
https://doi. org/10.1155/2022/8733632 is greater than the reward of the majority class …
https://doi. org/10.1155/2022/8733632 is greater than the reward of the majority class …