A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets

H Mittal, AC Pandey, M Saraswat, S Kumar… - Multimedia Tools and …, 2022 - Springer
Image segmentation is an essential phase of computer vision in which useful information is
extracted from an image that can range from finding objects while moving across a room to …

From classical to soft computing based watermarking techniques: A comprehensive review

R Singh, M Saraswat, A Ashok, H Mittal… - Future Generation …, 2023 - Elsevier
With evolution of digital technology, it is challenging to protect personal data from access
without consent. Digital watermarking conceals some information as watermark to protect …

Gravitational search algorithm: a comprehensive analysis of recent variants

H Mittal, A Tripathi, AC Pandey, R Pal - Multimedia Tools and Applications, 2021 - Springer
Gravitational search algorithm is a nature-inspired algorithm based on the mathematical
modelling of the Newton's law of gravity and motion. In a decade, researchers have …

A survey on the utilization of Superpixel image for clustering based image segmentation

B Sasmal, KG Dhal - Multimedia Tools and Applications, 2023 - Springer
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

DeepBatch: A hybrid deep learning model for interpretable diagnosis of breast cancer in whole-slide images

FA Zeiser, CA da Costa, G de Oliveira Ramos… - Expert Systems with …, 2021 - Elsevier
The gold standard for breast cancer diagnosis, treatment, and management is the
histological analysis of a suspected section. Histopathology consists in analyzing the …

A new complete color normalization method for H&E stained histopatholgical images

S Vijh, M Saraswat, S Kumar - Applied Intelligence, 2021 - Springer
The popularity of digital histopathology is growing rapidly in the development of computer
aided disease diagnosis systems. However, the color variations due to manual cell …

Improved convolutional neural network based histopathological image classification

V Rachapudi, G Lavanya Devi - Evolutionary Intelligence, 2021 - Springer
Histopathological image classification is one of the important application areas of medical
imaging. However, an accurate and efficient classification is still an open-ended research …

A new recommendation system using map-reduce-based tournament empowered Whale optimization algorithm

AK Tripathi, H Mittal, P Saxena, S Gupta - Complex & Intelligent Systems, 2021 - Springer
In the era of Web 2.0, the data are growing immensely and is assisting E-commerce
websites for better decision-making. Collaborative filtering, one of the prominent …

[PDF][PDF] Breast cancer nuclei segmentation and classification based on a deep learning approach

M Kowal, M Skobel, A Gramacki… - International Journal of …, 2021 - intapi.sciendo.com
One of the most popular methods in the diagnosis of breast cancer is fine-needle biopsy
without aspiration. Cell nuclei are the most important elements of cancer diagnostics based …

Breast cancer intelligent analysis of histopathological data: A systematic review

FA Zeiser, CA da Costa, AV Roehe… - Applied Soft …, 2021 - Elsevier
For a favorable prognosis of breast cancer, early diagnosis is essential. The
histopathological analysis is considered the gold standard to indicate the type of cancer …