Liver tumor segmentation and classification using deep learning
M Amritha, P Manimegalai - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
The high variation in the size of tumor, location, depth, intimate boundaries of other organs
around liver, liver tumor segmentation is the most important yet challenging task. The size …
around liver, liver tumor segmentation is the most important yet challenging task. The size …
Automatic segmentation and classification of the liver tumor using deep learning algorithms
Liver tumors are one of the life-threatening cancers with the fastest-growth rates worldwide.
Early detection of tumors may therefore reduce morbidity and increase the survival rate. The …
Early detection of tumors may therefore reduce morbidity and increase the survival rate. The …
Deep Learning Approaches for Liver Tumor Segmentation
M Kasipandi, S Rajathi, CP Chandran… - … on Advancements in …, 2023 - Springer
The method of automatically categorize and classify liver tumors of medical images using
deep learning techniques is known as “liver tumor segmentation using CNN and LeNet.” …
deep learning techniques is known as “liver tumor segmentation using CNN and LeNet.” …
A Comprehensive Liver Tumor Detection and Stages Classification Using Deep Learning and Image Processing Techniques
P Prakash, K Bhagavan, P Apsiya… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
This research presents a deep learning framework designed to automatically detect and
classify liver tumors in CT images, leveraging Convolutional Neural Networks (CNNs). The …
classify liver tumors in CT images, leveraging Convolutional Neural Networks (CNNs). The …
[HTML][HTML] Automatic segmentation of liver tumor in CT images with deep convolutional neural networks
W Li, F Jia, Q Hu - Journal of Computer and Communications, 2015 - scirp.org
Liver tumors segmentation from computed tomography (CT) images is an essential task for
diagnosis and treatments of liver cancer. However, it is difficult owing to the variability of …
diagnosis and treatments of liver cancer. However, it is difficult owing to the variability of …
Deep Learning Framework for Liver CT Image Segmentation and Risk Prediction
MR Gundavarapu, R Saginala, MA Varma… - … Conference on Smart …, 2023 - Springer
Liver cancer is a life-threatening disease, with an estimated deaths of 2 million per year
worldwide. Due to availability of abundant computational power recently the deep learning …
worldwide. Due to availability of abundant computational power recently the deep learning …
Computer-aided segmentation of liver lesions in CT scans using cascaded convolutional neural networks and genetically optimised classifier
N Nanda, P Kakkar, S Nagpal - Arabian Journal for Science and …, 2019 - Springer
Abdominal CT scans have been widely studied and researched by medical professionals in
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …
recent years. CT scans have proved effective for the task of detection of liver abnormalities in …
Liver tumour segmentation based on ResNet technique
A Sirco, A Almisreb, NM Tahir… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
It is known that the sixth most common cancer worldwide is liver cancer and CT scans are
commonly used to diagnose liver cancer. Hence in this study, deep learning techniques …
commonly used to diagnose liver cancer. Hence in this study, deep learning techniques …
Diagnosis of Liver Tumor from CT Scan Images using Deep Segmentation Network with CMBOA based CNN
R Thatikonda, S Kadakadiyavar… - 2023 IEEE 3rd …, 2023 - ieeexplore.ieee.org
Accurate segmentation and categorization of liver tumours are crucial for the diagnosis and
management of carcinoma or metastases. The liver tumour presents a challenging problem …
management of carcinoma or metastases. The liver tumour presents a challenging problem …
An automated liver tumour segmentation and classification model by deep learning based approaches
S Saha Roy, S Roy, P Mukherjee… - Computer Methods in …, 2023 - Taylor & Francis
Liver cancer is regarded as one of the most common and leading causes of cancer death
around the world. Automatic liver tumour segmentation and classification techniques are …
around the world. Automatic liver tumour segmentation and classification techniques are …