# Ankit Kumar Titoriya

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ankit-kumar-titoriya/

## Facts

| Field | Value |
| --- | --- |
| Citations | 85 |
| Field | AI in cancer detection |
| h-index | 5 |
| i10-index | 2 |
| Last Known Institution | National Institute of Technology Patna |
| OpenAlex ID | https://openalex.org/A5058142567 |
| ORCID iD | 0000-0001-6852-5143 |
| Works | 14 |

## Researcher papers

- [Breast Cancer Histopathology Image Classification using AlexNet](https://scholariq.org/papers/breast-cancer-histopathology-image-classification-using-alexnet/)
- [Few-Shot Learning on Histopathology Image Classification](https://scholariq.org/papers/few-shot-learning-on-histopathology-image-classification/)
- [MTUNet +  + : explainable few-shot medical image classification with generative adversarial network](https://scholariq.org/papers/mtunet-explainable-few-shot-medical-image-classification-with-generative/)
- [PVT-CASCADE network on skin cancer dataset](https://scholariq.org/papers/pvt-cascade-network-on-skin-cancer-dataset/)
- [MedSetFeat++: An attention-enriched set feature framework for few-shot medical image classification](https://scholariq.org/papers/medsetfeat-an-attention-enriched-set-feature-framework-for-few-shot-medical/)
- [Analysis of Convolutional Neural Network Architectures for the Classification of Lung and Colon Cancer](https://scholariq.org/papers/analysis-of-convolutional-neural-network-architectures-for-the-classification-of/)
- [Self-supervised few-shot medical image segmentation with spatial transformations](https://scholariq.org/papers/self-supervised-few-shot-medical-image-segmentation-with-spatial-transformations/)
- [Few-shot learning for plant disease detection using DeepBDC](https://scholariq.org/papers/few-shot-learning-for-plant-disease-detection-using-deepbdc-2/)
- [Breast Cancer Histopathological Image Classification Using PIP-Net](https://scholariq.org/papers/breast-cancer-histopathological-image-classification-using-pip-net/)
- [Fine-Grained Image Classification on Skin Cancer Dataset](https://scholariq.org/papers/fine-grained-image-classification-on-skin-cancer-dataset/)
- [Few-Shot Learning for Plant Disease Detection using DeepBDC](https://scholariq.org/papers/few-shot-learning-for-plant-disease-detection-using-deepbdc/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Researcher university

- [National Institute of Technology Patna](https://scholariq.org/institutions/national-institute-of-technology-patna/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.