Quantitative analysis of the brain tumors provides valuable information for understanding the
tumor characteristics and treatment planning better. The accurate segmentation of lesions …

Cure rates for kidney cancer vary according to stage and grade; hence, accurate diagnostic
procedures for early detection and diagnosis are crucial. Some difficulties with manual …

In most deep learning-based brain tumor segmentation methods, training the deep network
requires annotated tumor areas. However, accurate tumor annotation puts high demands on …

Brain tumors are potentially fatal presence of cancer cells over a human brain, and they
need to be segmented for accurate and reliable planning of diagnosis. Segmentation …

Brain tumor segmentation of MRI imagery is very essential in detecting and analyzing brain
tumors. But it's a herculean task due to the presence of noise and intensity inhomogeneity in …

Brain tumours pose a significant threat to human life, as they are a major cause of death.
Early detection of brain tumours is vital to improve treatment and reduce mortality rates …

Focal cortical dysplasia (FCD) is one of the most common epileptogenic lesions associated
with cortical development malformations. However, the accurate detection of the FCD relies …

Predictive Modeling problems deal with high-dimensional data; however, the curse of
dimensionality presents an obstacle to the use of many methods for their solutions. In many …

Detection of brain tumor is very challenging task in today's medical world. Nowadays, many
doctors prefer ready-made methods to diagnose the tumor from given magnetic resonance …

Задачи предсказательного моделирования требуют обработки многомерных данных, и
из-за “проклятия размерности” использование многих методов для их решения …