Multimodal brain tumor detection using multimodal deep transfer learning
MRI brain image analysis, including brain tumor detection, is a challenging task. MRI images
are multimodal, and in recent years, multimodal medical image analysis has gotten more …
are multimodal, and in recent years, multimodal medical image analysis has gotten more …
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 …
An interactive deep learning approach for brain tumor detection through 3D-magnetic resonance images
In medical field, brain tumor detection is an arduous task. Early segmentation of brain tumor
is a crucial challenge to save the patient's life by deep learning (DL). For efficient and …
is a crucial challenge to save the patient's life by deep learning (DL). For efficient and …
Determination of foveal avascular zone parameters using a new location-aware deep-learning method
Z Sobhaninia, H Danesh, R Kafieh… - Applications of …, 2021 - spiedigitallibrary.org
The Foveal Avascular Zone (FAZ) is of clinical importance since the retinal vascular
arrangement around the fovea changes with retinal vascular diseases and in high myopic …
arrangement around the fovea changes with retinal vascular diseases and in high myopic …
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 …
Comparison Review on Brain Tumor Classification and Segmentation using Convolutional Neural Network (CNN) and Capsule Network
NFB Ali, SS Mokri, S Abd Halim… - International …, 2023 - search.proquest.com
Malignant brain glioma is considered as one of the deadliest cancer diseases that has a
higher fatality rate than the survival rate. In terms of brain glioma imaging and diagnosis, the …
higher fatality rate than the survival rate. In terms of brain glioma imaging and diagnosis, the …
[引用][C] Research Article RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
H Gharagozlou, J Mohammadzadeh, A Bastanfard… - 2022