[HTML][HTML] The YOLO framework: A comprehensive review of evolution, applications, and benchmarks in object detection
This paper provides a comprehensive review of the YOLO (You Only Look Once) framework
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach
M Javed Awan, MS Mohd Rahim, N Salim… - Diagnostics, 2021 - mdpi.com
The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
Analysis of diabetic retinopathy (DR) based on the deep learning
If Diabetic Retinopathy (DR) patients do not receive quick diagnosis and treatment, they may
lose vision. DR, an eye disorder caused by high blood glucose, is becoming more prevalent …
lose vision. DR, an eye disorder caused by high blood glucose, is becoming more prevalent …
Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
Lumbar disc herniation automatic detection in magnetic resonance imaging based on deep learning
Background: Lumbar disc herniation (LDH) is among the most common causes of lower
back pain and sciatica. The causes of LDH have not been fully elucidated but most likely …
back pain and sciatica. The causes of LDH have not been fully elucidated but most likely …
Crossover based technique for data augmentation
Abstract Background and Objective: Medical image classification problems are frequently
constrained by the availability of datasets.“Data augmentation” has come as a data …
constrained by the availability of datasets.“Data augmentation” has come as a data …
Applicable artificial intelligence for brain disease: A survey
Brain diseases threaten hundreds of thousands of people over the world. Medical imaging
techniques such as MRI and CT are employed for various brain disease studies. As artificial …
techniques such as MRI and CT are employed for various brain disease studies. As artificial …
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images
The human liver exhibits variable characteristics and anatomical information, which is often
ambiguous in radiological images. Machine learning can be of great assistance in …
ambiguous in radiological images. Machine learning can be of great assistance in …
Feasibility of deep learning algorithms for reporting in routine spine magnetic resonance imaging
KU LewandrowskI, N Muraleedharan… - International journal of …, 2020 - ijssurgery.com
Background: Artificial intelligence is gaining traction in automated medical imaging analysis.
Development of more accurate magnetic resonance imaging (MRI) predictors of successful …
Development of more accurate magnetic resonance imaging (MRI) predictors of successful …