Brain Tumor Detection Using Image Processing

C Soundarya, A Kalaiselvi… - 2022 8th International …, 2022 - ieeexplore.ieee.org
Tumors are excess cells that grow in an uncontrolled way and are one of the most common
causes of cancer. Among the various types of tumors, brain tumors are more dangerous and …

Colon cancer detection using YOLOv5 architecture

RK Ramesh, CN Savithri - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Cancer is a disease where the cell divides exponentially and damages the body tissues.
Early diagnosis of cancer can help the person from witnessing complicated treatments and …

Real-time automatic assisted detection of uterine fibroid in ultrasound images using a deep learning detector

T Yang, L Yuan, P Li, P Liu - Ultrasound in Medicine & Biology, 2023 - Elsevier
Objective Uterine smooth muscle hyperplasia causes a tumor called a uterine fibroid. With
an incidence of up to 30%, it is one of the most prevalent tumors in women and has the third …

Classification of orbital tumors using convolutional neural networks

E Allam, ABM Salem, M Alfonse - Neural Computing and Applications, 2024 - Springer
Orbital tumors are the most common eye tumors that affect people all over the world. Early
detection prevents the progression to other regions of the eye and the body. Also, early …

Detection of Strategic Targets of Interest in Satellite Images using YOLO

P Gajalakshmi, JV Satyanarayana… - 2020 4th …, 2020 - ieeexplore.ieee.org
This paper details about training a convolutional neural network for object detection and
classification of a custom generated dataset from google earth satellite images. The objects …

A detection and prediction model based on deep learning assisted by explainable artificial intelligence for kidney diseases

AF Bayram, C Gurkan, A Budak… - Avrupa Bilim ve Teknoloji …, 2022 - dergipark.org.tr
Kidney diseases are one of the most common diseases worldwide and cause unbearable
pain in most people. In this study aims to detecting the cyst and stone in the kidney. For the …

Performing and Evaluation of Deep Learning Models for Uterus Detection on Soft-tissue Cadavers in Laparoscopic Gynecology

A Boonkong, K Khampitak, D Hormdee - IEEE Access, 2023 - ieeexplore.ieee.org
Nowadays, with the current technological forces that have been shaping our bright future,
one of these is Computer Vision. This statement is true across various matters, including …

Pairnet: a deep learning-based object detection and segmentation system

A Kale, I Jawade, P Kakade, R Jadhav… - Machine Intelligence and …, 2022 - Springer
In the era of computers and digital systems, there is a need for highly optimized automated
feature detection and segmentation systems for medical imagery that are accurate and fast …

Improved polyp detection from colonoscopy images using finetuned YOLO-v5

P Ghose, A Ghose, D Sadhukhan, S Pal… - Multimedia Tools and …, 2024 - Springer
Object detection plays an important role to accelerate the medical diagnosis and automatic
polyp detection from colonoscopy images is one of the prominent examples. Visual …

Analysis of MRI brain tumor images using deep learning techniques

BJD Kalyani, K Meena, E Murali, L Jayakumar… - Soft Computing, 2023 - Springer
A popular deep learning-based object detection technique is the'You Only Look Once'v3
(YOLOv3) method for brain tumor detection from tumor patients. The YOLOv3 model was …