TLOD: Innovative ovarian tumor detection for accurate multiclass classification and clinical application
MJ Sundari, NC Brintha - Network Modeling Analysis in Health Informatics …, 2024 - Springer
Ovarian tumors pose a major threat to women's health, mostly remaining undetected until
they reach advanced stages, resulting in complex treatment and decreased survival rates …
they reach advanced stages, resulting in complex treatment and decreased survival rates …
Deep Learning for Comparative Study of Ovarian Cancer Detection on Histopathological Images
WO Falana, A Serener, S Serte - 2023 7th International …, 2023 - ieeexplore.ieee.org
Ovarian cancer is a serious threat to women's health. It comes from the ovaries, which are
important for producing eggs and hormones, such as estrogen and progesterone. Ovarian …
important for producing eggs and hormones, such as estrogen and progesterone. Ovarian …
Enhancing Ovarian Cancer Detection: A Deep Learning Approach with MobileNetV3 and ResNet50
CV Kwatra, H Kaur - 2023 Seventh International Conference …, 2023 - ieeexplore.ieee.org
Ovarian cancer, commonly known as the “silent killer,” presents notable obstacles in terms of
timely detection and management. This work aims to explore the capabilities of deep …
timely detection and management. This work aims to explore the capabilities of deep …
A comparative study of various machine learning methods on ovarian tumor
MJ Sundari, NC Brintha - 2021 Sixth International Conference …, 2021 - ieeexplore.ieee.org
Ovarian tumor is a kind of cancer which is commonly encountered in females. It is critical to
accurately anticipate the development of Benign Ovarian Tumors (BOT) cancers. This …
accurately anticipate the development of Benign Ovarian Tumors (BOT) cancers. This …
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
MHS Ifty, N Nirjan, MA Diganta, L Islam, RA Ornate - 2024 - dspace.bracu.ac.bd
Cancer is a complex and highly invasive disease that forms due to the abnormal growth of
cells in any part of the body. A majority of cancers are unraveled and treated by …
cells in any part of the body. A majority of cancers are unraveled and treated by …
A convolutional neural network approach for detecting malignancy of ovarian cancer
M Mathur, V Jindal - Soft Computing and Signal Processing: Proceedings …, 2022 - Springer
Ovarian malignant growth has a poor endurance rate because general analysis and
improved techniques are required for its initial discovery. Ovarian malignancy is the sixth …
improved techniques are required for its initial discovery. Ovarian malignancy is the sixth …
An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant
A Kodipalli, S Guha, S Dasar, T Ismail - Expert Systems, 2022 - Wiley Online Library
The classification of tumours into benign and malignant continues to date to be a very
relevant and significant research topic in the cancer research domain. With the advent of …
relevant and significant research topic in the cancer research domain. With the advent of …
[PDF][PDF] Performance Analysis of Segmentation and Classification of CT-Scanned Ovarian Tumours Using U-Net and Deep Convolutional Neural Networks. Diagnostics …
A Kodipalli, SL Fernandes, V Gururaj… - doi. org/10.3390 …, 2023 - academia.edu
Difficulty in detecting tumours in early stages is the major cause of mortalities in patients,
despite the advancements in treatment and research regarding ovarian cancer. Deep …
despite the advancements in treatment and research regarding ovarian cancer. Deep …
Systematic analysis of ovarian cancer empowered with machine and deep learning: a taxonomy and future challenges
Abstract Machine and Deep learning has witnessed an exceptional amount of admiration in
recent years. ML has ability to learn data itself by predicting uncertain conditions or future …
recent years. ML has ability to learn data itself by predicting uncertain conditions or future …
An Empirical Evaluation of a Novel Ensemble Deep Neural Network Model and Explainable AI for Accurate Segmentation and Classification of Ovarian Tumors Using …
A Kodipalli, SL Fernandes, S Dasar - Diagnostics, 2024 - mdpi.com
Ovarian cancer is one of the leading causes of death worldwide among the female
population. Early diagnosis is crucial for patient treatment. In this work, our main objective is …
population. Early diagnosis is crucial for patient treatment. In this work, our main objective is …