Abstract Gastrointestinal stromal tumor is one of the critical tumors that doctors do not suggest to get frequent endoscopy, so there a need for diagnosis system which can process ultrasound images and figure out tumor. Many gastrointestinal methods were developed, but all these used manual contour rather than automatic segmentation. The research adopts enhanced segmentation improve with deep c...

Towards detecting an anomaly in brain images, different approaches are discussed the literature. Features like white mass values and shape features have identified presence of tumors. Various deep learning models neural network has been adapted to problem tumor detection suffers meet maximum accuracy tumor. An Adaptive Feature Centric Distribution Similarity Based Anomaly Detection Model with C...

Neural stem cells (NSCs) have the tremendous potential to migrate to areas of pathology in the central nervous system (CNS) (1,2). When implanted into diseased or injured CNS, NSCs can travel great distances and engraft within discrete areas as well as diffuse neuronal abnormalities (1,2). Engraftment is often followed by integration into the local neural milieu, accompanied by stable gene expr...

Abstract Glioblastoma is the most frequent and malignant brain tumor. Immune therapies have had limited effect, but not much known about frequency type of immune cells in infiltration zone periphery. In these areas, tumor migrate into parenchyma prevent total resection thereby leading to recurrence. This study aims quantify distribution glioblastomas. A cohort 67 glioblastomas was established c...

All of us walk with faith, unaware what lies ahead in our life, until we have that fall, my story is about how I lost balance and regained it a better form. Little did know this rare brain tumor was slowly taking over neural commands. To fight for life the only aim prior to surgery getting back living after neurosurgery aiming higher than before. This narrative essay trials tribulations present...

In this paper, we investigate breast ultrasound images (BUSI) performing (CAD) Computer Aided Diagnosis of cancer, thereby predicting the stage malignant tumor in through effective speckle filtering, contrast enhancement, feature extraction and fusion. This model trains BUSI dataset by Convolutional neural network (CNN) using NPR tool.

Background: Melanomas arise from multipotent neural crest derivative, the melanocytes. At the tumor-stroma interphase, melanoma cells show organized neural differentiation forming tumor-vascular complexes. The present study explores the sequence of neurogenesis from aurophilic radial glial like cells in relation to angiogenesis, utilizing the tumor-vascular-complex (TVC) as a 3D model. Methods:...