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 …

[Retracted] Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images

X Wang, H Li, P Zheng - Oxidative Medicine And Cellular …, 2022 - Wiley Online Library
Ovarian cancer is one of the most common malignant tumours of female reproductive organs
in the world. The pelvic CT scan is a common examination method used for the screening of …

A hybrid deep learning approach for detection and segmentation of ovarian tumours

HH Maria, AM Jossy, S Malarvizhi - Neural Computing and Applications, 2023 - Springer
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 …

[PDF][PDF] Ovarian Tumors Detection and Classification from Ultrasound Images Based on YOLOv8

TL Pham, VH Le - Journal of Advances in Information Technology, 2024 - jait.us
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 …

Cervical cancer cell image detection method based on improved YOLOv4

C Shi, Q Pan, M Rehman - 2022 7th International Conference …, 2022 - ieeexplore.ieee.org
Aiming at the problem of frequent false and missed detection due to the dense and scattered
distribution of cancer cells in the pathological images of cervical cancer cells, the complex …

Unmasking Ovary Tumors: Real-Time Detection with YOLOv5

N Vasker, ARA Sowrov, M Hasan, MS Ali… - … Conference on Big …, 2023 - ieeexplore.ieee.org
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 …

Ovarian Tumors Detection and Classification on Ultrasound Images Using One-stage Convolutional Neural Networks

VH Le, TL Pham - Journal of Robotics and Control (JRC), 2024 - journal.umy.ac.id
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 …

YOLO_CC: deep learning based approach for early stage detection of cervical cancer from cervix images using YOLOv5s model

MZH Ontor, MM Ali, SS Hossain… - … on Advances in …, 2022 - ieeexplore.ieee.org
Cervical Cancer (CC) is the fourth major cancer, which is responsible for a large number of
deaths among women. Early stage detection of the cancer is the most effective solutions for …

AT-Cascade R-CNN: a novel attention-based cascade R-CNN model for ovarian cancer lesion identification

S Wang, L Wang, L Wang, Z Yu… - … Journal of Adaptive …, 2021 - inderscienceonline.com
Ovarian cancer is one of the most common cancers in female genital organs. Since ovarian
cancer is associated with plenty of pathological features, most of the computational …

Detection of cervical cancer cells in complex situation based on improved YOLOv3 network

D Jia, Z He, C Zhang, W Yin, N Wu, Z Li - Multimedia tools and …, 2022 - Springer
Cervical cancer is one of the major diseases that seriously threaten women's health.
Cervical cancer automatic screening technology is of great significance to reduce the …