A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Nucleus segmentation is an imperative step in the qualitative study of imaging datasets,
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
Breast cancer detection in mammogram: Combining modified CNN and texture feature based approach
JG Melekoodappattu, AS Dhas, BK Kandathil… - Journal of Ambient …, 2023 - Springer
Customized deep neural networks are being used to assess medical imaging and pathology
data. The proper assessment of malignancy using digital mammography images is a …
data. The proper assessment of malignancy using digital mammography images is a …
Automated breast cancer detection using hybrid extreme learning machine classifier
JG Melekoodappattu, PS Subbian - Journal of Ambient Intelligence and …, 2023 - Springer
Breast cancer has been identified as one of the major diseases that have led to the death of
women in recent decades. Mammograms are extensively used by physicians to diagnose …
women in recent decades. Mammograms are extensively used by physicians to diagnose …
RETRACTED ARTICLE: Detection of distributed denial of service using deep learning neural network
S Sumathi, N Karthikeyan - Journal of Ambient Intelligence and …, 2021 - Springer
The need for developing a neural network classifier in an intrusion detection system for
network security purpose is a necessary. Today, worldwide various types of sophisticated …
network security purpose is a necessary. Today, worldwide various types of sophisticated …
An efficient hybrid methodology for an early detection of breast cancer in digital mammograms
L Singh, A Alam - Journal of Ambient Intelligence and Humanized …, 2024 - Springer
Breast cancer continues to be a major health problem throughout the world impacting almost
2.1 million women each year. Delineation of breast cancer at an early stage can play a key …
2.1 million women each year. Delineation of breast cancer at an early stage can play a key …
RETRACTED ARTICLE: A brain tumor image segmentation technique in image processing using ICA-LDA algorithm with ARHE model
S Saravanan, R Karthigaivel… - Journal of Ambient …, 2021 - Springer
In digital image processing, image segmentation is the key methodology which is to be used
frequently. In digital image processing, noise reduction and enhancement techniques are …
frequently. In digital image processing, noise reduction and enhancement techniques are …
A hybrid deep learning approach for detection and segmentation of ovarian tumours
In recent days, artificial intelligence (AI) is gaining worldwide popularity in several industries
among which healthcare is an important sector. AI is being used in healthcare to reduce …
among which healthcare is an important sector. AI is being used in healthcare to reduce …
Automatic breast cancer detection using HGMMEM algorithm with DELMA classification
Breast cancer detection is a challenging task in the field of medical image processing.
Nowadays huge amount of research is happening in this field. Usually, for an abnormal …
Nowadays huge amount of research is happening in this field. Usually, for an abnormal …
White blood cell classification based on a novel ensemble convolutional neural network framework
N Dong, Q Feng, J Chang, X Mai - The Journal of Supercomputing, 2024 - Springer
White blood cell detection plays an integral role in diagnosing pathologies such as leukemia
and gestational diabetes. Despite this, conventional image-based white blood cell …
and gestational diabetes. Despite this, conventional image-based white blood cell …
Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning
The most prevalent malignancy of concern among women is breast cancer. Early detection
plays a crucial role in improving survival chances. However, the current reliance on …
plays a crucial role in improving survival chances. However, the current reliance on …