Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Abstract: This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multi-resolution analysis (MRA), decreasing the calculation complexity of 2-D histogram ...

Abstract: Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used because of ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...

This project prepares the Oxford-IIIT Pet Dataset and trains a UNet-based segmentation model to segment pet regions from images. It includes full preprocessing, model training, evaluation, and metric ...

#plt.imshow(img, cmap=plt.cm.gray, interpolation='nearest') #Let's clean the noise using edge preserving filter. #As mentioned in previous tutorial, my favorite is NLM #plt.imshow(denoise_img_as_8byte ...

Meibomian gland dysfunction (MGD) is caused by abnormalities of the meibomian glands (MG) and is one of the causes of evaporative dry eye (DED). Precise MG segmentation is crucial for MGD-related DED ...

ABSTRACT: This paper presents an efficient liver-segmentation system developed by combining three ideas under the operations of a level-set method and consequent processes. First, an effective initial ...