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Questions related from Sivaramakrishnan Rajaraman
I am referring to this study https://proceedings.neurips.cc/paper/2020/file/288cd2567953f06e460a33951f55daaf-Paper.pdf entitled "On Warm-Starting Neural Network Training". Here, the authors...
25 January 2023 900 1 View
I computed the structural similarity index (SSIM) value between a ground truth mask and its corresponding predicted mask in an image segmentation task using a UNet model. Both the ground truth and...
13 January 2023 7,384 2 View
I am training a deep learning model toward a image classification task. The VGG-16 model is trained individually on two different training sets with varying degrees of data imbalance. Set-1 had...
30 July 2021 2,913 3 View
I trained a VGG-16 model on a highly imbalanced dataset where the positive samples (class-1) were only 20% of the negative samples (class-0) ( # positive samples: 100 and # negative samples: 500)....
30 July 2021 6,343 0 View
I have trained a VGG-16 model toward a binary classification task. The model was trained on equal numbers of abnormal and normal images (n=2000). Literature studies demonstrate that model...
27 July 2021 6,217 4 View
I have generated denoised images using several models and would like to ensemble at the prediction level to achieve superior denoising results. What would be the best way to combine (averaging,...
11 March 2021 2,242 1 View
I am using several U-Net variants for a medical image segmentation task. I get the following values for the performance measures including Dice, IOU, Area under receiver-operating characteristic...
28 December 2020 7,457 3 View
I have a frontal and lateral chest x ray projection for a given patient as shown in the attached figures. I am thinking about performing pixel-level mappings across these views. What are the steps...
27 October 2020 7,554 3 View
We have seen researchers using various types of GANs to synthesize medical data. However, it is hard to train the GANs and also the synthesized images are no good compared to the actual since...
21 July 2020 7,114 4 View
I have observed that the performance of a machine learning model trained on a larger dataset is not as convincing as the one trained on a smaller (different) dataset. What quantitative measures I...
17 February 2019 9,516 4 View
I'm currently working on applying ML techniques toward classifying parasitic and normal cells in an automated malaria detection system. Do we have any measure of human level performance (any...
01 March 2018 2,134 3 View
I've been statistically validating the performance of different Deep Learning models. In the process, I could find that there is no statistically significant difference in performance between the...
29 December 2017 3,409 2 View
Commonly we extract features using: net = googlenet() %Extract features featureLayer = 'pool5-drop_7x7_s1'; #the last layer before softmax How to extract features from a different layer earlier in...
30 November 2017 3,946 4 View
Do we have a open-source standardized database of TB microscopic sputum smear images?
25 July 2016 5,397 5 View
