Patents by Inventor Satheesan Balasubramanian

Satheesan Balasubramanian has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11793408
    Abstract: The present disclosure relates to method for predicting location and depth of abnormal tissue in breast tissue by prediction system. The prediction system predicts location based on 2D thermal image generated based on temperature values and intermediate temperature values. The intermediate temperature values are estimated using triangular and rectangular patterns formed on pre-defined model of breast, thermal conductivity of breast tissue, 2D coordinates on one of triangular and rectangular patterns and temperature values at steady state of breast tissue. The depth is predicted based on 3D thermal image of breast tissue generated using temperature values and intermediate temperature values and error parameter.
    Type: Grant
    Filed: June 28, 2022
    Date of Patent: October 24, 2023
    Assignees: THE SECRETARY, MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY, GOVT. OF INDIA, THE DIRECTOR GENERAL, CENTRE FOR MATERIALS FOR ELECTRONICS TECHNOLOGY (C-MET), THE PRINCIPAL, GOVERNMENT ENGINEERING COLLEGE, THE DIRECTOR, MALABAR CANCER CENTRE (MCC)
    Inventors: Seema Ansari, Muralidharan Malamal Neelanchery, Arathy Kottapurath, Eva Ignatious, Ranjith Kizhupadath Ravindran, Deepak Puthan Purayil, Sudheesh Raveendran Nair Sarojini, Satheesan Balasubramanian
  • Publication number: 20220354369
    Abstract: The present disclosure relates to method for predicting location and depth of abnormal tissue in breast tissue by prediction system. The prediction system predicts location based on 2D thermal image generated based on temperature values and intermediate temperature values. The intermediate temperature values are estimated using triangular and rectangular patterns formed on pre-defined model of breast, thermal conductivity of breast tissue, 2D coordinates on one of triangular and rectangular patterns and temperature values at steady state of breast tissue. The depth is predicted based on 3D thermal image of breast tissue generated using temperature values and intermediate temperature values and error parameter.
    Type: Application
    Filed: June 28, 2022
    Publication date: November 10, 2022
    Applicants: THE SECRETARY, MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY, GOVT. OF INDIA, THE DIRECTOR GENERAL, CENTRE FOR MATERIALS FOR ELECTRONICS TECHNOLOGY (C-MET), THE PRINCIPAL, GOVERNMENT ENGINEERING COLLEGE, THE DIRECTOR, MALABAR CANCER CENTRE (MCC)
    Inventors: Seema ANSARI, Muralidharan Malamal NEELANCHERY, Arathy KOTTAPURATH, Eva IGNATIOUS, Ranjith Kizhupadath RAVINDRAN, Deepak Puthan PURAYIL, Sudheesh Raveendran Nair SAROJINI, Satheesan BALASUBRAMANIAN
  • Patent number: 11375901
    Abstract: The present disclosure relates to method for predicting location and depth of abnormal tissue in breast tissue by prediction system. The prediction system predicts location based on 2D thermal image generated based on temperature values and intermediate temperature values. The intermediate temperature values are estimated using triangular and rectangular patterns formed on pre-defined model of breast, thermal conductivity of breast tissue, 2D coordinates on one of triangular and rectangular patterns and temperature values at steady state of breast tissue. The depth is predicted based on 3D thermal image of breast tissue generated using temperature values and intermediate temperature values and error parameter.
    Type: Grant
    Filed: March 20, 2018
    Date of Patent: July 5, 2022
    Assignees: THE SECRETARY, MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY, GOVT. OF INDIA, THE DIRECTOR GENERAL, CENTRE FOR MATERIALS FOR ELECTRONICS TECHNOLOGY (C-MET), THE PRINCIPAL, GOVERNMENT ENGINEERING COLLEGE, THE DIRECTOR, MALABAR CANCER CENTRE (MCC)
    Inventors: Seema Ansari, Muralidharan Malamal Neelanchery, Arathy Kottapurath, Eva Ignatious, Ranjith Kizhupadath Ravindran, Deepak Puthan Purayil, Sudheesh Raveendran Nair Sarojini, Satheesan Balasubramanian
  • Publication number: 20190200874
    Abstract: The present disclosure relates to method for predicting location and depth of abnormal tissue in breast tissue by prediction system. The prediction system predicts location based on 2D thermal image generated based on temperature values and intermediate temperature values. The intermediate temperature values are estimated using triangular and rectangular patterns formed on pre-defined model of breast, thermal conductivity of breast tissue, 2D coordinates on one of triangular and rectangular patterns and temperature values at steady state of breast tissue. The depth is predicted based on 3D thermal image of breast tissue generated using temperature values and intermediate temperature values and error parameter.
    Type: Application
    Filed: March 20, 2018
    Publication date: July 4, 2019
    Applicants: THE SECRETARY, MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY, GOVT. OF INDIA, THE DIRECTOR GENERAL, CENTRE FOR MATERIALS FOR ELECTRONICS TECHNOLOGY (C-MET), THE PRINCIPAL, GOVERNMENT ENGINEERING COLLEGE, THE DIRECTOR, MALABAR CANCER CENTRE (MCC)
    Inventors: Seema Ansari, Muralidharan Malamal Neelanchery, Arathy Kottapurath, Eva Ignatious, Ranjith Kizhupadath Ravindran, Deepak Puthan Purayil, Sudheesh Raveendran Nair Sarojini, Satheesan Balasubramanian