Multi-model ensemble learning architecture based on 3D CNN for lung nodule malignancy suspiciousness classification
H Liu, H Cao, E Song, G Ma, X Xu, R Jin, C Liu… - Journal of Digital …, 2020 - Springer
Classification of benign and malignant in lung nodules using chest CT images is a key step
in the diagnosis of early-stage lung cancer, as well as an effective way to improve the …
in the diagnosis of early-stage lung cancer, as well as an effective way to improve the …
Multiscale CNN with compound fusions for false positive reduction in lung nodule detection
PS Mittapalli, V Thanikaiselvan - Artificial Intelligence in Medicine, 2021 - Elsevier
Pulmonary lung nodules are often benign at the early stage but they could easily become
malignant and metastasize to other locations in later stages. Morphological characteristics of …
malignant and metastasize to other locations in later stages. Morphological characteristics of …
[Retracted] Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network
Prostate cancer is one of the most common cancers in men worldwide, second only to lung
cancer. The most common method used in diagnosing prostate cancer is the microscopic …
cancer. The most common method used in diagnosing prostate cancer is the microscopic …
Attention based multi-patched 3D-CNNs with hybrid fusion architecture for reducing false positives during lung nodule detection
VK Vipparla, PK Chilukuri… - Journal of Computer …, 2021 - science.sdpublishers.org
In lung nodules there is a huge variation in structural properties like Shape, Surface Texture.
Even the spatial properties vary, where they can be found attached to lung walls, blood …
Even the spatial properties vary, where they can be found attached to lung walls, blood …
Using deep learning techniques in detecting lung cancer
Today, with the rapid rise in the number of illnesses, there is a significant increase in the
number of people who died due to these diseases. Nowadays, cancer diseases, in …
number of people who died due to these diseases. Nowadays, cancer diseases, in …
Pulmonary nodule detection based on 3D multi-scale and semantic context heterogeneity
Y Zhang, X Luo - … on Biomedical and Intelligent Systems (IC …, 2023 - spiedigitallibrary.org
Automated lung nodule detection methods are challenged by the fact that pulmonary
nodules often present multiple morphologies and scales and by the low differentiation of …
nodules often present multiple morphologies and scales and by the low differentiation of …
[PDF][PDF] Research Article Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network
Prostate cancer is one of the most common cancers in men worldwide, second only to lung
cancer. The most common method used in diagnosing prostate cancer is the microscopic …
cancer. The most common method used in diagnosing prostate cancer is the microscopic …