Medical image super-resolution reconstruction algorithms based on deep learning: A survey
D Qiu, Y Cheng, X Wang - Computer Methods and Programs in …, 2023 - Elsevier
Background and objective With the high-resolution (HR) requirements of medical images in
clinical practice, super-resolution (SR) reconstruction algorithms based on low-resolution …
clinical practice, super-resolution (SR) reconstruction algorithms based on low-resolution …
MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques
Background Detecting brain tumors in their early stages is crucial. Brain tumors are
classified by biopsy, which can only be performed through definitive brain surgery …
classified by biopsy, which can only be performed through definitive brain surgery …
Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN
Non-destructive testing and characterization of internal vertical cracks are critical for road
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
Artificial intelligence in business and economics research: Trends and future
Artificial Intelligence is a disruptive technology developed during the 20th century, which has
undergone an accelerated evolution, underpinning solutions to complex problems in the …
undergone an accelerated evolution, underpinning solutions to complex problems in the …
[HTML][HTML] Medical image segmentation and reconstruction of prostate tumor based on 3D AlexNet
J Chen, Z Wan, J Zhang, W Li, Y Chen, Y Li… - Computer methods and …, 2021 - Elsevier
Background Prostate cancer is a disease with a high incidence of tumors in men. Due to the
long incubation time and insidious condition, early diagnosis is difficult; especially imaging …
long incubation time and insidious condition, early diagnosis is difficult; especially imaging …
Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion
Z Zhuang, Z Yang, ANJ Raj, C Wei, P Jin… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective Breast cancer is a fatal threat to the health of women.
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …
Ultrasonography is a common method for the detection of breast cancer. Computer-aided …
Gradient boosting machine and efficient combination of features for speech-based detection of COVID-19
In recent times, speech-based automatic disease detection systems have shown several
promising results in biomedical and life science applications, especially in the case of …
promising results in biomedical and life science applications, especially in the case of …