Mr. Nicolas B. Judd Profile

Nicolas B. Judd

at Southern Connecticut State Univ

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 7 March 2022 Presentation

Kidney cancer diagnosis using deep learning

Andrew Cheng, Michael Icaza, Nicholas Judd, Jason Smith, Sushmita Mukherjee, Manu Jain, Binlin Wu

Proceedings Volume PC11954, PC119540E (2022) https://doi.org/10.1117/12.2610117

KEYWORDS: Kidney, Tumors, Cancer, Image classification, Visual process modeling, Tumor growth modeling, Data modeling, Receivers, Performance modeling, Multiphoton microscopy

Read Abstract +

Proceedings Article | 4 March 2019 Paper

Distinguish chromophobe renal cell carcinoma and renal oncocytoma based on analysis of multiphoton microscopic images using convolutional neural network

Michael Icaza, Nicolas Judd, Manu Jain, Sushmita Mukherjee, Binlin Wu

Proceedings Volume 10873, 1087315 (2019) https://doi.org/10.1117/12.2509133

KEYWORDS: Convolutional neural networks, Tumor growth modeling, Image classification, Second-harmonic generation, Tumors, Image fusion, Collagen, Tissues, Performance modeling, 3D image processing

Read Abstract +

Proceedings Article | 21 February 2018 Paper

A pilot study for distinguishing chromophobe renal cell carcinoma and oncocytoma using second harmonic generation imaging and convolutional neural network analysis of collagen fibrillar structure

Nicolas Judd, Jason Smith, Manu Jain, Sushmita Mukherjee, Michael Icaza, Ryan Gallagher, Richard Szeligowski, Binlin Wu

Proceedings Volume 10489, 1048919 (2018) https://doi.org/10.1117/12.2288088

KEYWORDS: Tumors, Collagen, Image processing, Neurons, Data modeling, Kidney, Tumor growth modeling, Digital filtering, Image filtering, Second-harmonic generation

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years