Performance Analysis of Deep Learning Techniques Detecting Black Fungus
Mallikarjuna Rao Gundavarapu1, Bhargavi Lella2, Shriya Manda3, Lakshmi Prasanna Nekkanti4, Prerana Panchareddy5
1Mallikarjuna Rao Gundavarapu, Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
2Bhargavi Lella*, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
3Shriya Manda, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
4Lakshmi Prasanna Nekkanti, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
5Prerana Panchareddy, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
Manuscript received on 27 March 2022. | Revised Manuscript received on 30 March 2022. | Manuscript published on 30 April 2022. | PP: 87-93 | Volume-11 Issue-4, April 2022. | Retrieval Number: 100.1/ijeat.D34810411422 | DOI: 10.35940/ijeat.D3481.0411422
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mucormycosis, which is also commonly known as “Black Fungus”, is a deadly fungal infection that is caused by a group of molds called “mucormycetes”. Black Fungus attacks when one gets in contact with fungus spores in the environment, especially when a person is having any kind of skin trauma like a cut, scrape, burn, etc. They noted that this infection affects a person who is having other health issues like diabetes, cancer, organ transplants, or who is using other drugs which compromise the immune system. The spread of coronavirus has hiked the cases of Black Fungus as coronavirus leaves its patient’s immune systems in a weakened state, making them more susceptible to Mucormycosis. The symptoms of black fungus when the body gets attacked vary depending on where it is growing in your body, some of the recognized symptoms include fever, cough, chest pain, headache, swelling and redness of eyes, discoloration over the eyes, nose, and sides of one’s face, blurred vision and in severe cases loss of vision, blood vomits, shortness of breath. It enters the body via the nose, mouth, or eyes and can affect the brain and other organs if not treated on time. The primary aim of this project is to detect black fungus using Deep Neural Networks based on the iris dataset. We have experimented with various deep learning techniques for detecting black fungus from eye image datasets, such as VGG16, ResNet-50, InceptionV3, and Alex Net.
Keywords: Mucormycosis, Discoloration, Redness, Swelling, Coronavirus, Vision.
Scope of the Article: Deep Learning.