[PDF][PDF] Ovarian Tumors Detection and Classification from Ultrasound Images Based on YOLOv8
Ovarian cancer is the 7th most common malignant tumor and the 8th leading cause of death
in women. Therefore, ovarian cancer detection early and on the image data as ultrasound …
in women. Therefore, ovarian cancer detection early and on the image data as ultrasound …
Ovarian Tumors Detection and Classification on Ultrasound Images Using One-stage Convolutional Neural Networks
Currently, the advent of CNN (Convolutional Neural Network) has brought very convincing
results to computer vision problems. One-stage CNNs are a suitable choice for research and …
results to computer vision problems. One-stage CNNs are a suitable choice for research and …
Unmasking Ovary Tumors: Real-Time Detection with YOLOv5
Ovary tumor is an unexpected growth of a women's ovary. For successful treatment planning
and identification, ovary tumor detection is critical. The present medical method to detect …
and identification, ovary tumor detection is critical. The present medical method to detect …
A hybrid deep learning approach for detection and segmentation of ovarian tumours
In recent days, artificial intelligence (AI) is gaining worldwide popularity in several industries
among which healthcare is an important sector. AI is being used in healthcare to reduce …
among which healthcare is an important sector. AI is being used in healthcare to reduce …
An improved YOLOv3 model for detecting location information of ovarian cancer from CT images
X Wang, H Li, L Wang, Y Yu, H Zhou… - Intelligent Data …, 2021 - content.iospress.com
Ovarian cancer is a malignant tumor that poses a serious threat to women's lives. Computer-
aided diagnosis (CAD) systems can classify the type of ovarian tumors, but few of them can …
aided diagnosis (CAD) systems can classify the type of ovarian tumors, but few of them can …
Mitotic cell detection in histopathological images of neuroendocrine tumors using improved YOLOv5 by transformer mechanism
Automatic analysis of pathological images is important for the diagnosis and treatment of
diseases. The use of computerized systems in this field is becoming increasingly common …
diseases. The use of computerized systems in this field is becoming increasingly common …
YOLO V3 and YOLO V4 for masses detection in mammograms with resnet and inception for masses classification
GH Aly, MAER Marey, S El-Sayed Amin… - … : Proceedings of AMLTA …, 2021 - Springer
Breast cancer is considered the most common type of cancer in women. It is the second
leading cause of death all over the world among women. However, the process of mass …
leading cause of death all over the world among women. However, the process of mass …
Improved YOLOv5 object detection algorithm for remote sensing images
X Duan, W Huang - … on Robotics and Computer Vision (ICRCV), 2023 - ieeexplore.ieee.org
Remote sensing image target detection using deep neural network has emerged as a
significant area of research in recent years. However, in the context of remote sensing …
significant area of research in recent years. However, in the context of remote sensing …
Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning
The human brain has a complicated structure, making it difficult to diagnose any brain
ailments, particularly when they affect important parts of the brain. A brain tumor with a high …
ailments, particularly when they affect important parts of the brain. A brain tumor with a high …
A Study of YOLO Algorithm for Multi-target Detection
H Wen, F Dai - Journal of Advances in Artificial Life Robotics, 2021 - jstage.jst.go.jp
With the development of deep learning, target detection has become one of the research
directions of many scholars. As one of the more mature algorithms, the single-stage YOLO …
directions of many scholars. As one of the more mature algorithms, the single-stage YOLO …