Machine learning techniques for pulmonary nodule computer-aided diagnosis using CT images: A systematic review
H Jin, C Yu, Z Gong, R Zheng, Y Zhao, Q Fu - … Signal Processing and …, 2023 - Elsevier
Objective Early detection of pulmonary nodules is critical for the prevention and treatment of
lung cancer. Concomitant with recent advancements in computer performance and …
lung cancer. Concomitant with recent advancements in computer performance and …
[HTML][HTML] Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using …
We developed a computer-aided diagnosis (CADx) method for classification between
benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the …
benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the …
[HTML][HTML] Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
We aimed to evaluate a computer-aided diagnosis (CADx) system for lung nodule
classification focussing on (i) usefulness of the conventional CADx system (hand-crafted …
classification focussing on (i) usefulness of the conventional CADx system (hand-crafted …
Automatic classification of ovarian cancer types from cytological images using deep convolutional neural networks
M Wu, C Yan, H Liu, Q Liu - Bioscience reports, 2018 - portlandpress.com
Ovarian cancer is one of the most common gynecologic malignancies. Accurate
classification of ovarian cancer types (serous carcinoma, mucous carcinoma, endometrioid …
classification of ovarian cancer types (serous carcinoma, mucous carcinoma, endometrioid …
Classification of lung nodules based on CT images using squeeze-and-excitation network and aggregated residual transformations
G Zhang, Z Yang, L Gong, S Jiang, L Wang… - La radiologia medica, 2020 - Springer
Lung cancer is pointed as a leading cause of cancer death worldwide. Early lung nodule
diagnosis has great significance for treating lung cancer and increasing patient survival. In …
diagnosis has great significance for treating lung cancer and increasing patient survival. In …
Computational framework of inverted fuzzy C-means and quantum convolutional neural network towards accurate detection of ovarian tumors
A Kodipalli, SL Fernandes, SK Dasar… - International Journal of E …, 2023 - igi-global.com
Due to the advancements in the lifestyle, stress builds enormously among individuals. A few
recent studies have indicated that stress is a major contributor for infertility and subsequent …
recent studies have indicated that stress is a major contributor for infertility and subsequent …
Generative adversarial network and texture features applied to automatic glaucoma detection
TRV Bisneto, AO de Carvalho Filho… - Applied Soft …, 2020 - Elsevier
Glaucoma is a neurodegenerative disease that has a multifactorial etiology. The main
characteristic of this illness is the progressive lesion of the optic nerve. This disease is …
characteristic of this illness is the progressive lesion of the optic nerve. This disease is …
Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma
MV dos Santos Ferreira, AO de Carvalho Filho… - Expert Systems with …, 2018 - Elsevier
Glaucoma is an asymptomatic disease caused by damage to the optic nerve due to elevated
intraocular pressure. With early diagnosis, the chances of controlling progression are …
intraocular pressure. With early diagnosis, the chances of controlling progression are …
Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network
Lung cancer has been recognized as the primary global cause of death among cancer
patients. This work is intended to develop a methodology for diagnosis of lung nodules …
patients. This work is intended to develop a methodology for diagnosis of lung nodules …
Classification of benign and malignant lung nodules from CT images based on hybrid features
G Zhang, Z Yang, L Gong, S Jiang… - Physics in Medicine & …, 2019 - iopscience.iop.org
The classification of benign and malignant lung nodules has great significance for the early
detection of lung cancer, since early diagnosis of nodules can greatly increase patient …
detection of lung cancer, since early diagnosis of nodules can greatly increase patient …