Now I am working on a project to classify Lung CT images using CNN and I am looking for new deep learning techniques for same purpose to make a comparison with CNN, what do you suggest?
I am working lung CT images and I did a classification for these images using build from scratch model and the results are very good, now for a comparison purpose I want to do a transfer learning...
04 May 2019 314 1 View
I am working on a project to classify lung CT images using CNN, and as I understand, the pixel spacing is distance between the center of each pixel, specified by a numeric pair - adjacent row...
03 April 2019 8,195 1 View
To review the English of my master thesis, I need an online reliable English proofreading and editing tool, what do you recommend for me?
03 April 2019 7,233 8 View
In lung cancer classification in CT scan images, is false positive or false negative is more important to care about? in most paper they try to reduce false positives, but in some articles they...
11 December 2018 9,701 6 View
If a deep learning model has more than one epoch while training and the accuracy is increasing and decreasing over epochs, what is the best way to calculate the accuracy? is it possible to choose...
09 October 2018 5,111 7 View
I am working on a project to classify lung CT images (cancer/non-cancer) using CNN model, for that I need free dataset with annotation file. I know there is LIDC-IDRI and Luna16 dataset both are...
08 September 2018 6,501 6 View
what is the best offline augmentation techniques for lung CT scan images to enlarge your dataset?
08 September 2018 1,328 8 View
Hello dear researchers: I am working on project to classify lung ct image using CNN and LIDC dataset, i have three questions: 1- each scan in the dataset contains a large number of slices(images)...
05 June 2018 5,668 6 View
Iam working on cancer detection and classification in lung ct images using convolutional neural network(CNN), my question is what steps(preprocessing steps) do i need before classification step?...
04 May 2018 976 4 View
Hello dear researchers, can you tell me what deep learning algorithms (architectures) can be used for medical image classification except CNN?
04 May 2018 9,066 1 View
“Here is a thought experiment. Let's place Rodolpho Llinas's jarred-brain on top of a body (Fig. 1). I bet Llinas would argue that his jarred-brain retains its own consciousness, and the android...
11 August 2024 2,483 1 View
The rate of glucose consumption by the neocortex is reduced by over 80% during anesthesia (Sibson et al. 1998), which disables the synapses (Richards 2002) that are inundated by glial tissue (Engl...
08 August 2024 3,118 0 View
After immunohistochemistry of previously fixed in PFA and EtOH and then frozen 20 μm sections of zebrafish brain, DAPI staining is very weak (right) compared to the same sections stained without...
05 August 2024 9,637 2 View
Larger brains, which typically contain more neurons, store and transfer more information (Tehovnik and Chen 2015), but the precise relationship between number of neurons and information has yet to...
05 August 2024 1,238 2 View
I need the python code to forecast what crop production will be in the next decade considering climate and crop production variables as seen in the attached.csv file.
05 August 2024 2,977 3 View
Brain and body mass together are positively correlated with lifespan (Hofman 1993). The duration of neural development is one of the best predictors of brain size, and conception is the best...
05 August 2024 6,247 3 View
Hello everyone, I am currently working on a research project that aims to integrate machine learning techniques into an open source SIEM tool to automate the creation of security use cases from...
04 August 2024 3,196 2 View
Hi everyone I need a file with a dirty and clean potato image
04 August 2024 7,199 4 View
When the entire neocortex is ablated in rodents, although they are still able to swim, all the limbs move continuously and asynchronously (Vanderwolf 2006; Vanderwolf et al. 1978). Normal animals...
03 August 2024 835 3 View
Machine learning (ML) has shown great potential in predicting the compressive strength of concrete, an important property for structural engineering. However, its practical application comes with...
03 August 2024 2,546 2 View