Manju Dabass

Five-grade cancer classification of colon histology images via deep learning

Sharda Vashisth, R. Vig, Manju Dabass, 2019, Communication and Computing Systems.

A convolution neural network with multi-level convolutional and attention learning for classification of cancer grades and tissue structures in colon histopathological images

Sharda Vashisth, R. Vig, Manju Dabass, 2022, Comput. Biol. Medicine.

MTU: A multi-tasking U-net with hybrid convolutional learning and attention modules for cancer classification and gland Segmentation in Colon Histopathological Images

Sharda Vashisth, R. Vig, Manju Dabass, 2022, Comput. Biol. Medicine.

Review of Classification Techniques Using Deep Learning for Colorectal Cancer Imaging Modalities

Rekha Vig, Sharda Vashisth, Manju Dabass, 2019, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN).

Review of Histopathological Image Segmentation via current Deep Learning Approaches

Rekha Vig, Sharda Vashisth, Manju Dabass, 2018, 2018 4th International Conference on Computing Communication and Automation (ICCCA).

Automated Mucous Glands Detection and Segmentation in Colon Histology Images Using Semantic Segmentation

Jyoti Dabass, Manju Dabass, Manju Dabass, 2019 .

Segmentation of Noisy Mammograms Using Hybrid Techniques

Jyoti Dabass, Manju Dabass, Manju Dabass, 2020 .

An Atrous Convolved Hybrid Seg-Net Model with residual and attention mechanism for gland detection and segmentation in histopathological images

Manju Dabass, Jyoti Dabass, 2023, Comput. Biol. Medicine.

Attention-Guided deep atrous-residual U-Net architecture for automated gland segmentation in colon histopathology images

Sharda Vashisth, R. Vig, Manju Dabass, 2021, Informatics in Medicine Unlocked.

A hybrid U-Net model with attention and advanced convolutional learning modules for simultaneous gland segmentation and cancer grade prediction in colorectal histopathological images

Sharda Vashisth, R. Vig, Manju Dabass, 2023, Intelligence-Based Medicine.

Denoising, Edge Correction, and Enhancement of Breast Cancer Ultrasound Images

Jyoti Dabass, Manju Dabass, Manju Dabass, 2020 .