Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review
Objectives Medical image analysis practices face challenges that can potentially be
addressed with algorithm-based segmentation tools. In this study, we map the field of …
addressed with algorithm-based segmentation tools. In this study, we map the field of …
An overview of segmentation algorithms for the analysis of anomalies on medical images
Human disease identification from the scanned body parts helps medical practitioners make
the right decision in lesser time. Image segmentation plays a vital role in automated …
the right decision in lesser time. Image segmentation plays a vital role in automated …
Ischemic stroke lesion segmentation using multi-plane information fusion
L Zhang, R Song, Y Wang, C Zhu, J Liu, J Yang… - IEEE …, 2020 - ieeexplore.ieee.org
Diffusion-weighted magnetic resonance imaging (DWI) is sensitive to acute ischemic stroke
and is a common diagnostic method for the stroke. However, the diagnostic result relies on …
and is a common diagnostic method for the stroke. However, the diagnostic result relies on …
[HTML][HTML] Improving brain magnetic resonance image (MRI) segmentation via a novel algorithm based on genetic and regional growth
A Javadpour, A Mohammadi - Journal of biomedical physics & …, 2016 - ncbi.nlm.nih.gov
Background Regarding the importance of right diagnosis in medical applications, various
methods have been exploited for processing medical images solar. The method of …
methods have been exploited for processing medical images solar. The method of …
Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation
As manual delineation of lesions in medical image is a very tedious and time consuming
process, accurate and automatic segmentation of medical images can assist diagnosis and …
process, accurate and automatic segmentation of medical images can assist diagnosis and …
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments
Uterine fibroids are benign tumors that can affect female patients during reproductive years.
Magnetic resonance-guided focused ultrasound (MRgFUS) represents a noninvasive …
Magnetic resonance-guided focused ultrasound (MRgFUS) represents a noninvasive …
Bone cancer detection from mri scan imagery using mean pixel intensity
Cancer is a dangerous disease, which is caused because of unregulated cell growth. After
many researches, almost 100 different types of cancer has been detected in human body …
many researches, almost 100 different types of cancer has been detected in human body …
On unsupervised methods for medical image segmentation: Investigating classic approaches in breast cancer dce-mri
C Militello, A Ranieri, L Rundo, I D'Angelo… - Applied Sciences, 2021 - mdpi.com
Unsupervised segmentation techniques, which do not require labeled data for training and
can be more easily integrated into the clinical routine, represent a valid solution especially …
can be more easily integrated into the clinical routine, represent a valid solution especially …
Classifying cyst and tumor lesion using support vector machine based on dental panoramic images texture features
Artikel ini juga membahas sistem yang diusulkan terdiri dari ekstraksi ciri berdasarkan
tekstur menggunakan orde pertama tekstur statistik (FO), Matriks Co-kejadian Tingkat Abu …
tekstur menggunakan orde pertama tekstur statistik (FO), Matriks Co-kejadian Tingkat Abu …
New level set approach based on Parzen estimation for stroke segmentation in skull CT images
Stroke is the second most common cause of death and one of the leading causes of
disability in industrialized countries. Among the 17.5 million deaths caused by …
disability in industrialized countries. Among the 17.5 million deaths caused by …