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3D histopathology of human tumours by fast clearing and ultramicroscopy
Here, we describe a novel approach that allows pathologists to three-dimensionally analyse
malignant tissues, including the tumour-host tissue interface. Our visualization technique …
malignant tissues, including the tumour-host tissue interface. Our visualization technique …
Classification of brain MRI using SVM and KNN classifier
The classification of the brain MRI is an important task. In this paper, the automatic approach
to the classification of brain tumor into malignant Vs. benign and low grade Vs. high grade …
to the classification of brain tumor into malignant Vs. benign and low grade Vs. high grade …
Adaptive Image Enhancement Using Hybrid Particle Swarm Optimization and Watershed Segmentation.
Medical images are obtained straight from the medical acquisition devices so that, the image
quality becomes poor and may contain noises. Low contrast and poor quality are the major …
quality becomes poor and may contain noises. Low contrast and poor quality are the major …
[PDF][PDF] Comparative analysis of performance of deep cnn based framework for brain mri classification using transfer learning
The brain tumor is among the most hazardous and destructive diseases. The mortality rate in
brain cancer is more at a later stage. Also, the brain tumor's misdiagnosis will produce …
brain cancer is more at a later stage. Also, the brain tumor's misdiagnosis will produce …
Lesion-inspired denoising network: Connecting medical image denoising and lesion detection
Deep learning has achieved notable performance in the denoising task of low-quality
medical images and the detection task of lesions, respectively. However, existing low-quality …
medical images and the detection task of lesions, respectively. However, existing low-quality …
Dempster-shafer fusion for effective retinal vessels' diameter measurement
Retinal medical imaging has a vital role in detecting a large number of eye disorders. Due to
the irregular lighting conditions, the captured images suffer from poor contrast and …
the irregular lighting conditions, the captured images suffer from poor contrast and …
[PDF][PDF] The importance of contrast enhancement in medical images analysis and diagnosis
Contrast enhancement is a significant factor in any subjective evaluation of image quality
which used to enhance the overall quality of the medical image for feature visualization and …
which used to enhance the overall quality of the medical image for feature visualization and …
Blind signal separation for fast ultrasound computed tomography
Breast cancer is the most prevalent cancer with a high mortality rate in women over the age
of 40. Many studies have shown that the detection of cancer at earlier stages significantly …
of 40. Many studies have shown that the detection of cancer at earlier stages significantly …
An application of dental X-ray image enhancement
VM Georgieva, AD Mihaylova… - 2017 13th International …, 2017 - ieeexplore.ieee.org
In this paper, an effective approach for dental X-ray image enhancement for detection of
caries on the base of location of the lesion is presented. It consists of contrast improvement …
caries on the base of location of the lesion is presented. It consists of contrast improvement …
[PDF][PDF] Noise removal using morphology and median filter methods in mammogram images
Preprocessing is the required fundamental step in image processing. It enhances the
visualization of image by manipulating dataset for further processing. The quality of the …
visualization of image by manipulating dataset for further processing. The quality of the …