Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
Recent progress in transformer-based medical image analysis
The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …
[HTML][HTML] Hierarchical Harris hawks optimizer for feature selection
L Peng, Z Cai, AA Heidari, L Zhang, H Chen - Journal of Advanced …, 2023 - Elsevier
Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …
embedded methods. Because of its characteristics, the wrapper method must include a …
BCU-Net: Bridging ConvNeXt and U-Net for medical image segmentation
Medical image segmentation enables doctors to observe lesion regions better and make
accurate diagnostic decisions. Single-branch models such as U-Net have achieved great …
accurate diagnostic decisions. Single-branch models such as U-Net have achieved great …
RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames
Brain tumors are one of the most fatal cancers. Magnetic Resonance Imaging (MRI) is a non-
invasive method that provides multi-modal images containing important information …
invasive method that provides multi-modal images containing important information …
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution
Breast cancer has replaced lung cancer as the most prevalent malignancy threatening
human health. Early breast screening can help improve treatment success and reduce the …
human health. Early breast screening can help improve treatment success and reduce the …
An efficient multi-threshold image segmentation for skin cancer using boosting whale optimizer
L Liu, F Kuang, L Li, S Xu, Y Liang - Computers in Biology and Medicine, 2022 - Elsevier
Due to the terrible manifestations of skin cancer, it seriously disturbs the quality of life status
and health of patients, so we needs treatment plans to detect it early and avoid it causing …
and health of patients, so we needs treatment plans to detect it early and avoid it causing …
[HTML][HTML] A Cuproptosis Activation Scoring model predicts neoplasm-immunity interactions and personalized treatments in glioma
Gliomas are malignant tumors in the central nervous system. Cuproptosis is a newly
discovered cell death mechanism targeting lipoylated tricarboxylic acid cycle proteins …
discovered cell death mechanism targeting lipoylated tricarboxylic acid cycle proteins …
Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images
In this era of Coronavirus disease 2019 (COVID-19), an accurate method of diagnosis with
less diagnosis time and cost can effectively help in controlling the disease spread with the …
less diagnosis time and cost can effectively help in controlling the disease spread with the …
Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing
Pre-processing is widely applied in medical image analysis to remove the interference
information. However, the existing pre-processing solutions mainly encounter two …
information. However, the existing pre-processing solutions mainly encounter two …